Lesson 2: Probability theory. |
2.1. Basic probability concepts.
2.2. Conditional probability and independent events.
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Lesson 4: Statistical inference. |
4.1 Population, sample and their characteristics. Simple random sampling. Distributions associated with sampling in normal populations.
4.2. Point estimation. Concept of estimator and its properties.
4.3. Confidence intervals in normal populations.
4.4. Hypothesis testing. Formulation of hypotheses. Classic tests in normal populations. |