1. introduction and data collection
2. presenting data in tables and charts
3. numerical descriptive measures
4. basic probability
5. some important discrete probability ditributions
6. the normal distribution., other continuous distributions, and sampling distributions
7. confidence interval estimation
8. fundamentals of hypothesis testing: one-sample tests
9. two-sample tests with numerical data
10. analysis of variance
11. chi-square and nonparametric test
12. simple linear regression
13. multiple linear regression
14. multiple regression models
15. time-series forecasting and index numbers
16. desicion making
17. statistical applications in quality and production management