Syllabus
1. Descriptive statistics.
2. Frequencies and probabilities, independence.
3. Random variable and its distribution, characteristics of random variables.
4. Random sample, population, parameter estimation, hypotheses testing.
5. One sample tests.
6. Two sample tests.
7. Regression, correlation.
8. Contingency tables.
Annotation
Descriptive statistics. Introduction to inferential statistics (statistical hypothesis, statistics, significance level, p value,confidence interval).
One/two independent samples precedures. Regression.
Contingency tables.