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Paper 0542 541 06A

STATISTICAL QUALITY CONTROL

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This unit covers the competencies required to apply statistics in quality controls. The competencies include data sampling and collection, coding and presentation, analysis, and application of statistical tools in quality control.

On completion, a candidate should be able to

  • Sample and collect statistical data
  • Code and present statistical data
  • Analyse statistical data
  • Apply statistical tools in quality control.

Content

  1. 1

    Sample and collect statistical data

    Sample and collect statistical data

    1. 1.1

      Terms and concepts in statistics

    2. 1.2

      Sampling and statistical data collection

    3. 1.2.1

      Definition of sampling

    4. 1.2.2

      Types and limitations of sampling

    5. 1.2.3

      Importance of sampling.

    6. 1.3

      Determination of sample size.

    7. 1.4

      Determination of confidence levels.

    8. 1.5

      Types of errors.

    9. 1.6

      Precision and accuracy determination.

    10. 1.7

      Sampling and census

    11. 1.8

      Standard error

    12. 1.9

      Types of statistical data

    13. 1.10

      Statistical data collection methods

  2. 2

    Code and present statistical data

    Code and present statistical data

    1. 2.1

      Statistical data coding and presentation

    2. 2.2

      Data coding

    3. 2.3

      Data entry

    4. 2.4

      Data Editing

    5. 2.5

      Tabulation of data

    6. 2.6

      Classification of data

    7. 2.7

      Presentation of tables and charts

  3. 3

    Analyze statistical data

    Analyze statistical data

    1. 3.1

      Data analysis software

    2. 3.1.1

      Qlik Sense

    3. 3.1.2

      XLSTAT

    4. 3.1.3

      IBM SPSS

    5. 3.1.4

      MATLAB

    6. 3.1.5

      GoodData

    7. 3.1.6

      Tableau

    8. 3.1.7

      Zoho Analytics

    9. 3.1.8

      Chartio

    10. 3.1.9

      Sisense

    11. 3.2

      Measures of central tendency

    12. 3.2.1

      Definition of Measures of the central tendency

    13. 3.2.2

      Computation of the measures of central tendency

    14. 3.2.3

      Graphical determination of the measures

    15. 3.2.4

      Comparison of the measures

    16. 3.2.5

      Application of measures of central tendency

    17. 3.3

      Measures of dispersion

    18. 3.3.1

      Computation of Measures of dispersion

    19. 3.3.2

      Application of Measures of dispersion

    20. 3.3.3

      Definition of relative Measures of dispersion

    21. 3.3.4

      Computation and interpretation of relative Measures of dispersion

    22. 3.4

      Probability distribution

    23. 3.4.1

      Types of events

    24. 3.4.2

      Laws of probability

    25. 3.4.3

      Counting techniques

    26. 3.4.4

      Mathematical expectation

    27. 3.4.5

      Types and characteristics of a probability distribution

    28. 3.5

      The standard deviation of a probability density function

    29. 3.6

      Mean, variance, and standard deviation using binomial distribution

    30. 3.7

      Poisson distribution

    31. 3.8

      Normal distribution

    32. 3.9

      Moments, skewness, and kurtosis

  4. 4

    Apply statistical tools in quality control.

    Apply statistical tools in quality control.

    1. 4.1

      Scatter diagrams

    2. 4.2

      Control charts

    3. 4.3

      X-Chart

    4. 4.4

      R-Chart

    5. 4.5

      P-Chart

    6. 4.6

      C-Chart

    7. 4.7

      Pareto analysis

    8. 4.8

      Six Sigma

    9. 4.9

      Cause and effect diagram

    10. 4.10

      Establishing product or process control status