| 1 | Introduction to statistics, basic concepts of statistics ( population, sample), sampling methods (randomness, independence) | [1] p 1-6 |
| 2 | Data measurement and presentation; variables and data; continuous, discrete, ranked, derived and transformed variables, Frequency tables. | [1] p 7-11; [2] p 17-23 |
| 3 | Frequency distributions of discrete and continuous variables graphic presentation of a data (histograms and polygons) | [1] p 11-21; [2] p 17-23 |
| 4 | Descriptive statistics; measures of central tendency (mod, median, arithmetic mean) | [1] p 23-25; [2] p 26-29 |
| 5 | Measures of dispersion (variation range, standard deviation, standard error) | [1] p 25-29; [2] p 29-37 |
| 6 | Measures of skewness and kurtosis | [2] p 78-79 |
| 7 | Probability; basic rules of probability, calculations of combination and permutation | [1] p 33-36 |
| 8 | Some important discrete probability distributions; binomial and poison distributions | [1] p 36-45; p 107-130 |
| 9 | Continuous probability distributions; normal distributions, standard normal distributions and t, z, chi square tests | [1] p 46-58; [2] p 39-51 |
| 10 | Continuous probability distributions; normal distributions, standard normal distributions and t, z, chi square tests | [1] p 46-58; [2] p 39-51 |
| 11 | Interval estimation | [2] p 74 |
| 12 | Introduction to tests of hypothesis | [1] p 71-81; [2] p 64-73 |
| 13 | Simple linear regression and correlation | [1] p 151-172; [2] p 149-191 |
| 14 | Simple linear regression and correlation | [1] p 151-172; [2] p 149-191 |