Contents: Preface. 1. Introduction to statistics. 2. Diagrammatic and graphic presentation of data. 3. Measures of central tendency. 4. Measures of dispersion. 5. Theory of probability. 6. Random variables and distribution functions. 7. Mathematical expectation. 8. Generating functions law of large numbers and central limit theorems. 9. Discrete distributions. 10. Continuous distributions. 11. Theory of testing of hypothesis preliminaries. 12. Normal distribution and tests based on it. 13. Chi-square distribution and its applications. 14. Exact sampling distributions and related small sample tests. 15. Simple correlation and regression analysis. Bibliography.
