1.1. Definition, stages of investigation and key terms

1.2. Applications, limitations of statistics and types of variables

2.1. Methods of data observation

2.2. Methods of data representation

3.1. Summarization, mean

3.2. Median, mode, measures of variation, measures of position

4.1. Probability, revision of set theory

4.2. Set theory and multiplication rule

4.3. Permutation and combination

5.1. Conditional probability, multiplication rule

5.2. Theorem of total probability, Baye's theorem, independent events

6. One dimensional random variables

7. Two or more dimensional random variables

8.1. Expectations, expectations and variance

8.2. Covariance, Chebychev's theorem

9. Common probability distributions

Course Introduction

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