Syllabus
1. Statistics as a science. Statistical surveys. Type of variables. Intro to MS Excel.
2. Frequency table. Contingency table. Charts basic types.
3. Descriptives. Mode, median, average. Variance, standars deviation, coefficient of variation.
4. Quantiles. Basic statistical distributions.
5. Sampling-ranodm and non-random. Point and interval estimate.
6. Statistical hypothesis testing. One-sample t-test.
7. T-Tests (two-sample, paired).
8. Chi-square test for frequency.
9. Contingency tables and Pearson Chi-square test.
10. Correlation analysis.
11. Regression analysis I.
12. Regression analysis II.
Annotation
The course is focused on basics of social science statistics.