Speaker Profile
John N. Zorich
Statistical Consultant & Trainer, Ohlone College & SV Polytechnic
John N. Zorich has spent almost 40 years in the medical device manufacturing industry; the first 20 years were as a "regular" employee in the areas of R&D, Manufacturing, QA/QC, and Regulatory; the next 15 years were as a consultant in the areas of QA/QC and Statistics. These last few years were as a trainer and consultant in the area of Applied Statistics only. His consulting clients in the area of statistics have included numerous start-ups as well as large corporations such as Boston Scientific, Novellus, and Siemens Medical.
His experience as an instructor in applied statistics includes having given annual 3-day seminars for many years at Ohlone College (San Jose CA), and previously having given that same course for several years for Silicon Valley ASQ Biomedical. He's given numerous statistical seminars at ASQ meetings and conferences. And he creates and sells validated statistical software programs that have been purchased by more than 110 companies, world-wide.
Better Alternatives to Sampling Plans
The webinar begins with an examination of ISO and FDA regulations and guidelines regarding the use of statistics, especially in regards to Sampling Plans. The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤189.00 | View Details
Introduction to SPC (Statistical Process Control)
Manufacturing involves an attempt to produce items that as closely as possible meet design specifications (e.g., size, strength, etc.). However, all production processes exhibit variation - that is, no two items are identical. What method can we use to reduce such variation? The classic and still most widely used method is called SPC or "statistical process control".
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤189.00 | View Details
Statistical Analysis of Gages
The webinar begins with an examination of the fundamental vocabulary and concepts related to metrology. Topics include: accuracy, precision, calibration, and "uncertainty ratios". Several of the standard methods for analyzing measurement variation are then described and explained, as derived from AIAG's Measurement System Analysis reference book. The methods include: Gage R&R (ANOVA method, for 3 gages, 3 persons, 3 replicates, and 10 parts), Gage Correlation (for 3 gages), Gage Linearity, and Gage Bias.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤189.00 | View Details
Confidence-Reliability Calculations and Statistically Valid Sample Sizes
The webinar begins with a discussion of relevant regulatory requirements, as motivation for calculating "confidence/reliability". Then, some vocabulary and basic concepts are discussed.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤189.00 | View Details
Normality Tests and Transformations
Normality Tests and normality transformations are a combination of graphical and numerical methods that have been in use for many decades. These methods are essential to apply whenever a statistical test or method is used whose fundamental assumption is that the inputted data is normally distributed.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤189.00 | View Details
Understanding, Calculating, and Using Statistical Power
Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤189.00 | View Details
Process Capability Analysis of Extremely Non-Normal Data
Reliability Plotting is a graphical technique that is a standard method described in some reliability textbooks. The method is used primarily for data that is problematic in one or more of the following ways: non-normal (e.g., a Fatigue-Life distribution), a mixture of distributions (e.g., the distribution looks bi-modal when arranged into a histogram), low precision (e.g., a large number of identical readings in a small sample size), and/or incomplete (e.g., when a study is terminated before all on-test devices can be measured, due either to measurement equipment limitations or due to time limitations). Reliability plotting can easily handle all such situations.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤189.00 | View Details
Process Capability Analysis by means of Confidence - Reliability Calculations
The webinar begins with a discussion of relevant regulatory requirements, as motivation for calculating "confidence/reliability". Then, some vocabulary and basic concepts are discussed.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤136.00 | View Details
Metrology: Statistical Analysis of Measurement Uncertainty
The webinar begins with an examination of the fundamental vocabulary and concepts related to metrology. Topics include: accuracy, precision, calibration, and "uncertainty ratios".
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤189.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Price: ¤190.00 | View Details
Introduction to SPC (Statistical Process Control)
Manufacturing involves an attempt to produce items that as closely as possible meet design specifications (e.g., size, strength, etc.).
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Normality Tests and Normality Transformations: Explanations, Justifications, and Uses
Normality Tests and normality transformations are a combination of graphical and numerical methods that have been in use for many decades. These methods are essential to apply whenever a statistical test or method is used whose fundamental assumption is that the inputted data is normally distributed.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Metrology: Statistical Analysis of Measurement Uncertainty
The webinar begins with an examination of the fundamental vocabulary and concepts related to metrology. Topics include: accuracy, precision, calibration, and "uncertainty ratios".
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Understanding, Calculating, and Using Statistical Power
Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.
Speaker: John N. Zorich | View Anytime | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Process Capability Analysis by means of Confidence - Reliability Calculations
The webinar begins with a discussion of relevant regulatory requirements, as motivation for calculating "confidence/reliability". Then, some vocabulary and basic concepts are discussed.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Process Capability Analysis of Extremely Non-Normal Data
Reliability Plotting is a graphical technique that is a standard method described in some reliability textbooks. The method is used primarily for data that is problematic in one or more of the following ways: non-normal (e.g., a Fatigue-Life distribution), a mixture of distributions (e.g., the distribution looks bi-modal when arranged into a histogram), low precision (e.g., a large number of identical readings in a small sample size), and/or incomplete (e.g., when a study is terminated before all on-test devices can be measured, due either to measurement equipment limitations or due to time limitations). Reliability plotting can easily handle all such situations.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Introduction to SPC (Statistical Process Control)
Manufacturing involves an attempt to produce items that as closely as possible meet design specifications (e.g., size, strength, etc.). However, all production processes exhibit variation - that is, no two items are identical. What method can be used to reduce such variation? The classic and still most widely used method is called SPC or "statistical process control". SPC is a statistical tool that objectively identifies when it is worthwhile to perform a formal investigation of manufacturing variation, in order to identify and reduce its cause.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Understanding, Calculating, and Using Statistical Power
Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Process Capability Analysis by means of Confidence Reliability Calculations
The webinar begins with a discussion of relevant regulatory requirements, as motivation for calculating "confidence/reliability". Then, some vocabulary and basic concepts are discussed.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Process Capability Analysis Of Extremely Non-normal Data
Reliability Plotting is a graphical technique that is a standard method described in some reliability textbooks. The method is used primarily for data that is problematic in one or more of the following ways: non-normal (e.g., a Fatigue-Life distribution), a mixture of distributions (e.g., the distribution looks bi-modal when arranged into a histogram), low precision (e.g., a large number of identical readings in a small sample size), and/or incomplete (e.g., when a study is terminated before all on-test devices can be measured, due either to measurement equipment limitations or due to time limitations). Reliability plotting can easily handle all such situations.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Statistical Power and Sample Size
Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.
Speaker: John N. Zorich | View Anytime | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Understanding, Calculating, and Using Statistical Power
Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Price: ¤190.00 | View Details
Introduction to SPC (Statistical Process Control)
Manufacturing involves an attempt to produce items that as closely as possible meet design specifications (e.g., size, strength, etc.). However, all production processes exhibit variation - that is, no two items are identical. What method can be used to reduce such variation? The classic and still most widely used method is called SPC or "statistical process control". SPC is a statistical tool that objectively identifies when it is worthwhile to perform a formal investigation of manufacturing variation, in order to identify and reduce its cause.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Price: ¤190.00 | View Details
Understanding, Calculating, and Using Statistical Power
Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Introduction to SPC (Statistical Process Control)
Manufacturing involves an attempt to produce items that as closely as possible meet design specifications (e.g., size, strength, etc.). However, all production processes exhibit variation - that is, no two items are identical. What method can we use to reduce such variation? The classic and still most widely used method is called SPC or "statistical process control".
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Understanding, Calculating, and Using Statistical Power
Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Process Capability Analysis by means of Confidence Reliability Calculations
The webinar begins with a discussion of relevant regulatory requirements, as motivation for calculating "confidence/reliability". Then, some vocabulary and basic concepts are discussed.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Understanding, Calculating, and Using Statistical Power
Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Understanding, Calculating, and Using Statistical Power
Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
3-Hour Virtual Seminar on Statistical Process Control (SPC): A Detailed Introduction
Manufacturing involves an attempt to produce items that as closely as possible meet design specifications (e.g., size, strength, etc.). However, all production processes exhibit variation that is, no two items are identical. What method can be used to reduce such variation? The classic and still most widely used method is called SPC or "statistical process control".
Speaker: John N. Zorich | View Anytime | Duration: 3 Hours | Price: ¤340.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
2-Hour Virtual Seminar on Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 2 Hours | Price: ¤240.00 | View Details
Process Validation: Statistical Justification for Sample Size and the Use of Only 3 Lots
This webinar explains how to choose and justify a sample-size for Lots that are included in Process Validation studies.
Speaker: John N. Zorich | View Anytime | Duration: 60 Minutes | Price: ¤190.00 | View Details
2-Hour Virtual Seminar on Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 2 Hours | Price: ¤240.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Process Validation: Statistical Justification for Sample Size and the Use of Only 3 Lots
This webinar explains how to choose and justify a sample-size for Lots that are included in Process Validation studies.
Speaker: John N. Zorich | View Anytime | Price: ¤190.00 | View Details
2-Hour Virtual Seminar on Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 2 Hours | Price: ¤240.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
2-Hour Virtual Seminar on Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 2 Hours | Price: ¤240.00 | View Details
Process Validation: Statistical Justification for Sample Size and the Use of Only 3 Lots
This webinar explains how to choose and justify a sample-size for Lots that are included in Process Validation studies.
Speaker: John N. Zorich | View Anytime | Duration: 60 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Process Validation: Statistical Justification for Sample Size and the Use of Only 3 Lots
This webinar explains how to choose and justify a sample-size for Lots that are included in Process Validation studies.
Speaker: John N. Zorich | View Anytime | Duration: 60 Minutes | Price: ¤190.00 | View Details
2-Hour Virtual Seminar on Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 2 Hours | Price: ¤240.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
2-Hour Virtual Seminar on Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 2 Hours | Price: ¤240.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Process Validation: Statistical Justification for Sample Size and the Use of Only 3 Lots
This webinar explains how to choose and justify a sample-size for Lots that are included in Process Validation studies.
Speaker: John N. Zorich | View Anytime | Duration: 60 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
2-Hour Virtual Seminar on Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 2 Hours | Price: ¤240.00 | View Details
Metrology: Statistical Analysis of Measurement Uncertainty
The webinar begins with an examination of the fundamental vocabulary and concepts related to metrology. Topics include: accuracy, precision, calibration, and "uncertainty ratios".
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Process Validation: Statistical Justification for Sample Size and the Use of Only 3 Lots
This webinar explains how to choose and justify a sample-size for Lots that are included in Process Validation studies.
Speaker: John N. Zorich | View Anytime | Duration: 60 Minutes | Price: ¤190.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤190.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Process Capability Analysis by means of Confidence - Reliability Calculations
The webinar begins with a discussion of relevant regulatory requirements, as motivation for calculating "confidence/reliability". Then, some vocabulary and basic concepts are discussed.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Process Capability Analysis of Extremely Non-Normal Data
Reliability Plotting is a graphical technique that is a standard method described in some reliability textbooks. The method is used primarily for data that is problematic in one or more of the following ways: non-normal (e.g., a Fatigue-Life distribution), a mixture of distributions (e.g., the distribution looks bi-modal when arranged into a histogram), low precision (e.g., a large number of identical readings in a small sample size), and/or incomplete (e.g., when a study is terminated before all on-test devices can be measured, due either to measurement equipment limitations or due to time limitations). Reliability plotting can easily handle all such situations.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Introduction to SPC (Statistical Process Control)
Manufacturing involves an attempt to produce items that as closely as possible meet design specifications (e.g., size, strength, etc.). However, all production processes exhibit variation - that is, no two items are identical. What method can be used to reduce such variation? The classic and still most widely used method is called SPC or "statistical process control". SPC is a statistical tool that objectively identifies when it is worthwhile to perform a formal investigation of manufacturing variation, in order to identify and reduce its cause.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Understanding, Calculating, and Using Statistical Power
Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Price: ¤390.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Process Capability Analysis by means of Confidence Reliability Calculations
The webinar begins with a discussion of relevant regulatory requirements, as motivation for calculating "confidence/reliability". Then, some vocabulary and basic concepts are discussed.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Process Capability Analysis Of Extremely Non-normal Data
Reliability Plotting is a graphical technique that is a standard method described in some reliability textbooks. The method is used primarily for data that is problematic in one or more of the following ways: non-normal (e.g., a Fatigue-Life distribution), a mixture of distributions (e.g., the distribution looks bi-modal when arranged into a histogram), low precision (e.g., a large number of identical readings in a small sample size), and/or incomplete (e.g., when a study is terminated before all on-test devices can be measured, due either to measurement equipment limitations or due to time limitations). Reliability plotting can easily handle all such situations.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Statistical Power and Sample Size
Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.
Speaker: John N. Zorich | View Anytime | Price: ¤390.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Understanding, Calculating, and Using Statistical Power
Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Price: ¤390.00 | View Details
Process Capability Analysis by means of Confidence Reliability Calculations
The webinar begins with a discussion of relevant regulatory requirements, as motivation for calculating "confidence/reliability". Then, some vocabulary and basic concepts are discussed.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Understanding, Calculating, and Using Statistical Power
Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Understanding, Calculating, and Using Statistical Power
Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Process Capability Analysis by means of Confidence Reliability Calculations
The webinar begins with a discussion of relevant regulatory requirements, as motivation for calculating "confidence/reliability". Then, some vocabulary and basic concepts are discussed.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Understanding, Calculating, and Using Statistical Power
Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Understanding, Calculating, and Using Statistical Power
Statistical power is an indicator of the ability of a test of significance to "detect" a practical difference (e.g., between the averages of two products that are being compared). A low power typically means that the sample sizes in the study are too small. Without an analysis of statistical power, a conclusion of "non-significant" is rightfully questionable. Unless power is high, a study may be doomed to failure even before it is begun.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
3-Hour Virtual Seminar on Statistical Process Control (SPC): A Detailed Introduction
Manufacturing involves an attempt to produce items that as closely as possible meet design specifications (e.g., size, strength, etc.). However, all production processes exhibit variation that is, no two items are identical. What method can be used to reduce such variation? The classic and still most widely used method is called SPC or "statistical process control".
Speaker: John N. Zorich | View Anytime | Duration: 3 Hours | Price: ¤540.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
2-Hour Virtual Seminar on Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 2 Hours | Price: ¤440.00 | View Details
Process Validation: Statistical Justification for Sample Size and the Use of Only 3 Lots
This webinar explains how to choose and justify a sample-size for Lots that are included in Process Validation studies.
Speaker: John N. Zorich | View Anytime | Duration: 60 Minutes | Price: ¤390.00 | View Details
2-Hour Virtual Seminar on Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 2 Hours | Price: ¤440.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Process Validation: Statistical Justification for Sample Size and the Use of Only 3 Lots
This webinar explains how to choose and justify a sample-size for Lots that are included in Process Validation studies.
Speaker: John N. Zorich | View Anytime | Price: ¤390.00 | View Details
2-Hour Virtual Seminar on Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 2 Hours | Price: ¤440.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
2-Hour Virtual Seminar on Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 2 Hours | Price: ¤440.00 | View Details
Process Validation: Statistical Justification for Sample Size and the Use of Only 3 Lots
This webinar explains how to choose and justify a sample-size for Lots that are included in Process Validation studies.
Speaker: John N. Zorich | View Anytime | Duration: 60 Minutes | Price: ¤390.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements. Real-world examples are provided for how using such sampling plans leads to production of non-conforming product.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Process Validation: Statistical Justification for Sample Size and the Use of Only 3 Lots
This webinar explains how to choose and justify a sample-size for Lots that are included in Process Validation studies.
Speaker: John N. Zorich | View Anytime | Duration: 60 Minutes | Price: ¤390.00 | View Details
2-Hour Virtual Seminar on Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 2 Hours | Price: ¤440.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
2-Hour Virtual Seminar on Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 2 Hours | Price: ¤440.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Process Validation: Statistical Justification for Sample Size and the Use of Only 3 Lots
This webinar explains how to choose and justify a sample-size for Lots that are included in Process Validation studies.
Speaker: John N. Zorich | View Anytime | Duration: 60 Minutes | Price: ¤390.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
2-Hour Virtual Seminar on Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 2 Hours | Price: ¤440.00 | View Details
Confidence-Reliability Calculations and Statistically Valid Sample Sizes
The webinar begins with a discussion of relevant regulatory requirements, as motivation for calculating "confidence/reliability". Then, some vocabulary and basic concepts are discussed.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Metrology: Statistical Analysis of Measurement Uncertainty
The webinar begins with an examination of the fundamental vocabulary and concepts related to metrology. Topics include: accuracy, precision, calibration, and "uncertainty ratios".
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Process Validation: Statistical Justification for Sample Size and the Use of Only 3 Lots
This webinar explains how to choose and justify a sample-size for Lots that are included in Process Validation studies.
Speaker: John N. Zorich | View Anytime | Duration: 60 Minutes | Price: ¤390.00 | View Details
Valid Statistical Rationales for Sample Sizes
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details
Better Alternatives to AQL Sampling Plans for Risk Management in Incoming QC
The pros and cons of the 2 most widely used sampling plans (ANSI Z1.4, and Squeglia's C=0) are examined in detail, focusing especially on the weaknesses of such plans in regards to meeting regulatory requirements.
Speaker: John N. Zorich | View Anytime | Duration: 90 Minutes | Price: ¤390.00 | View Details