Webinar Search Results : 3 Upcoming webinars found.
John N. Zorich Wednesday, August 28, 2019
10:00 AM PDT | 01:00 PM EDT
Duration:90 Minutes
Price: $150.00
by: John N. Zorich
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.

John N. Zorich Wednesday, September 11, 2019
10:00 AM PDT | 01:00 PM EDT
Duration:60 Minutes
Price: $150.00
by: John N. Zorich
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.

John N. Zorich Wednesday, September 25, 2019
10:00 AM PDT | 01:00 PM EDT
Duration:2 Hours
Price: $190.00
by: John N. Zorich
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.

  • John N. Zorich Recorded
    View Anytime
    Duration:2 Hours
    Price: $240.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:60 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:60 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:2 Hours
    Price: $240.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:2 Hours
    Price: $240.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:2 Hours
    Price: $240.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:60 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:2 Hours
    Price: $240.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:3 Hours
    Price: $340.00
    by: John N. Zorich
    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".

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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".

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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".

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $190.00
    by: John N. Zorich
    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.).

  • John N. Zorich Recorded
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    Price: $190.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
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    Duration:90 Minutes
    Price: $189.00
    by: John N. Zorich
    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".

  • John N. Zorich Recorded
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    Duration:90 Minutes
    Price: $136.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
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    Duration:90 Minutes
    Price: $189.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
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    Duration:90 Minutes
    Price: $189.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
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    Duration:90 Minutes
    Price: $189.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $189.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $189.00
    by: John N. Zorich
    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.

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $189.00
    by: John N. Zorich
    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".

  • John N. Zorich Recorded
    View Anytime
    Duration:90 Minutes
    Price: $189.00
    by: John N. Zorich
    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.

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