1. Applications of Inferential Statistics (Statistical methods for quality control, warning and action limits, mean and range charts and their interpretation)
  2. One-way analysis of variance; Computer applications
  3. Two-way analysis of variance; Computer applications
  4. Chi-square tests of goodness of fit and independence. Computer applications
  5. Introduction to regression analysis and correlation (linear correlation, multiple and partial correlation, linear regression, scatter diagrams, regression analysis)
  6. Inferences concern the regression coefficients. Checking the statistical significance of the variables and the model.
  7. Multiple regression. Testing the overall significance of the model. Problems of regression (non-linear cases and some possible transformations).
  8. Use of MINITAB to find the regression line. Discussing computer outputs.
  9. Time series analysis
  10. Risk Analysis. Decision Making Analysis