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Statistical Quality Control and Method Validation/Verification (QCMV2) e-Learning

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◄ Previous: 2.4 Guassian demonstration Next: 2.6 Data populations ►

2 - Guassian is the key

2.5 Levey Jenings Chart

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◄ Previous: 2.4 Guassian demonstration Next: 2.6 Data populations ►
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Table of contents
  • 0 - Workshop Introduction
  • 1 - Let's Examine the Basics
  • 2 - Guassian is the key
    • 2.1 Guassian is key
    • 2.2 Measures of Central Tendency
    • 2.3 Guassian distribution
    • 2.4 Guassian demonstration
    • 2.5 Levey Jenings Chart
    • 2.6 Data populations
    • 2.7 SQC recap
  • 3 - Match it up
    • 3.1 Match it up Introduction
    • 3.2 Common QC terms
    • 3.3 Homework Part 1 Match it up
    • 3.4.1 Homework Part II Introduction Match it up
    • 3.4.2 Homework Part II Match it up
  • 4 - The Front line worker
    • 4.1 Introduction to The Front line worker
    • 4.2 Homework The Front line worker
  • 5 - It Begins with the Right Chart
    • 5.1 Introdcution It Begins with the Right Chart
    • 5.2 True and False Accepts and Rejects
    • 5.3 LJ Chart set up
    • 5.4 Homework Part I Assigned=Observed
    • 5.5 Homework Introduction to Part II Assigned ≠Observed
    • 5.6 Homework Part II Assigned ≠ Observed
  • 6 - Paralell testing
    • 6.1 Paralell testing QC material
    • 6.2 Homework CV%
  • 7 - Total Error
    • 7.1 Introduction to Total Error
    • 7.2 Bias equation TE
    • 7.3 TE Calculation Part I
    • 7.4 TE Calculation Part II
    • 7.5 Homework Calculating Total Error
  • 8 - Putting TEa into Quality
    • 8.1 Homework Intended use Putting TEa into Quality
    • 8.2 Using Total Allowable Error
    • 8.3 Calcuating TEa limits
    • 8.4 Homework TEa Calculations and Reagent lot number changes
  • 9 - How Far can Your Mean Shift
    • 9.1 Introduction to How Far can Your Mean Shift
    • 9.2 Introduction to SEc
    • 9.3 Calculating SEc
    • 9.4 Introduction to Sigma metrics
    • 9.5 Homework Calculating SEc and Sigma
    • 9.6 Homework Review and investigate
  • 10 - How to Select Control Rules
    • 10.1 Introduction to How to Select Control Rules
    • 10.2 QC selection tool introduction Part I
    • 10.3 QC selection took introduction Part II
    • 10.4 Homework Predicting Probabilities
    • 10.5 Homework Workstation activity
  • 11 - How Proficient Are We
    • 11.1 Why EQA Part 1
    • 11.2 Why EQA Part 2
    • 11.3 PT Programs Part 1
    • 11.4 PT Programs Part 2
    • 11.5 PT Programs Part 3
    • 11.6 PT Programs Part 4
    • 11.7 PT Programs Part 5
    • 11.8 Introduce the Activity
  • 12 - Understanding Interlab Comparison
    • 12.1 Introduce
    • 12.2 Comparison
    • 12.3 QC Materials
    • 12.4 How It Works
    • 12.5 CVI Part 1
    • 12.6 CVI Part 2
    • 12.7 CVI Part 3
    • 12.8 Introduce the Activity
  • 13 - Introduction to Method Validation and Verification
    • 13.1 Introduction Part 1
    • 13.2 Introduction Part 2
    • 13.3 Introduction Part 3
    • 13.4 Performance Characteristics 1
    • 13.5 Performance Characteristics 2
    • 13.6 Performance Characteristics 3
    • 13.7 Performance Characteristics 4
    • 13.8 Performance Characteristics 5
    • 13.9 Performance Characteristics 6
    • 13.10 Introduce the Activity - Decision Tree
    • 13.11 MV Overview Part 1
    • 13.12 MV Overview Part 2
    • 13.13 MV Overview Part 3
    • 13.14 Precision Experiment 1
    • 13.15 Precision Experiment 2
    • 13.16 Intro the Activity - Precision
    • 13.17 Linearity Experiment 1
    • 13.18 Linearity Experiment 2
    • 13.19 Linearity Experiment 3
    • 13.20 Linearity Experiment 4
    • 13.21 Linearity Experiment 5
    • 13.22 Linearity Experiment 6
    • 13.23 Linearity Experiment 7
    • 13.24 Intro the Activity-Linearity
    • 13.25 Accuracy Experiment 1
    • 13.26 Accuracy Experiment 2
    • 13.27 Accuracy Experiment 3
    • 13.28 Accuracy Experiment 4
    • 13.29 Accuracy Experiment 5
    • 13.30 Accuracy Experiment 6
    • 13.31 Accuracy Experiment 7
    • 13.32 Accuracy Experiment 8
    • 13.33 Accuracy Experiment 9
    • 13.34 Accuracy Experiment 10
    • 13.35 Accuracy Experiment 11
    • 13.36 Introduce the Activity - Accuracy
    • 13.37 Reference Interval Experiment 1
    • 13.38 Reference Interval Experiment 2
    • 13.39 Reference Interval Experiment 3
    • 13.40 Reference Interval Experiment 4
    • 13.41 Introduce the Activity - Ref Interval
  • 14 - Measurement of Uncertainty
    • 14.1 Introduction
    • 14.2 ISO Requirements
    • 14.3 TE vs MU
    • 14.4 MU Part 1
    • 14.5 MU Part 2
    • 14.6 MU Part 3
    • 14.7 Introduce the Activity - MU Calculation
    • 14.8 Traceability 1
    • 14.9 Traceability 2
    • 14.10 Commutable
    • 14.11 MU Goals
    • 14.12 Apply MU
    • 14.13 Diagnostic Uncertainty
    • 14.14 Intro the Activity - Reliable Repeat
    • 14.15 Intro the Activity - Using the Rule of 3
  • 15 - Improvement Project Master Class
    • 15.1 Improvement Project Master Class
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