Security Administration Vii 2 Statistical Analysis

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Statistical Analysis

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Security Administration Vii 2 Statistical Analysis

  1. 1. Statistical Analysis
  2. 2. Overview • Collecting Data • Organizing Data • Analyzing Data • Correlations and Causality • Review
  3. 3. Statistical Analysis • Collecting • Organizing • Analyzing DATA
  4. 4. Collecting Data • Sense, Spot & Deal with Problems –Special Functions –Employee Turnover • Work with Multiple Influences • Take Calculated Risks
  5. 5. Organizing Data • Simplify Affinity Diagrams – Organize diverse data – Engage many people – Surface differing perspectives – Promote common understanding
  6. 6. Affinity Diagrams
  7. 7. Analyzing Data • Decision making • Probability theory –Mutually exclusive –Collectively exhaustive • Forecasting
  8. 8. Monty Hall problem
  9. 9. Monty Hall Problem 2
  10. 10. Correlations and Causality • Variable –Independent –Dependent • Correlation –Relationship between two variables • Causality
  11. 11. Causality • Must be correlation • Cause before effect • Relationship not due to 3d variable (spurious) • Test with experimental design
  12. 12. Causation?
  13. 13. Review Why should security supervisors understand statistics? When should affinity diagrams be used? Distinguish mutually exclusive from collectively exhaustive How do you prove causality?
  14. 14. That’s all . . .

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