| 1 | Introduction to statistics, Statistical concepts, Type of statistic | [1] p. 1-5; [2] p. 1-4 |
| 2 | Summarizing data - Frequency Distributions and Graphic Presentation Construction of a frequency tables, histogram, frequency polygon, cumulative frequency polygon, pie charts | [1] p. 6-36; [2] p. 7-31 |
| 3 | Measures of Central Tendency (Arithmetic mean, geometric mean weighed mean, median, mode) | [1] p.36-49; [2] p. 32-55 |
| 4 | Distribution Parameters (Measures of dispersion and skewness, Variance, Standard deviation, Skewness and Kurtosis, Quartiles, Percentile range) | [1] p. 50-62 |
| 5 | Probability, Principles of probability (Addition rule, Multiplication rule) Probability trees, Bayes theorem, Mathematical expectation, Permutation, Combination | [1] p. 63-77 |
| 6 | Probability distributions:The Binominal Distribution, the Poisson distribution, the normal distribution and standardised normal distriburtion | [1] p.78-90 |
| 7 | Sampling and statistical estimation theory, Some important sample properties, the central limit theorem | [1] p.91-96; [2] p. 145-177 |
| 8 | The distriibution of sample means, Estimation of population parameters | [1] p. 97-102 |
| 9 | Mid-term exam-The Z-test | [1] p.103-114 |
| 10 | Student's t Test, Degrees of freedom, T tables, One sample T Test, Independent samples T Test, Paired samples T Test | [1] p. 114-129; [3] p.57-67 |
| 11 | The chi-square test | [1] p. 131-143 |
| 12 | The F Test, Analysis of variance, The F distribution, ANOVA, Two way analysis of variance, Test of Hartley Maximum and Cochran | [1] p. 144-169; [2] p. 196-215; [3] p.68-79 |
| 13 | Correlation-Simple correlation, Scatter diagrams, calculating the coefficient of correlation, testing the significance of the coefficient of correlation | [1] p.170-186 |
| 14 | Simple regression analysis, table of regression analysis, drawing the line of regression | [1] p.187-191 |