1. Data set, types of variables, data entry usin Excel, coding responses, missing values.
2. Continuous variables: descriptive statistics, boxplots, histograms.
3. Modifying the data file, transforming variables, split files, merge files.
4. Categorical variables: frequency tables, bar graphs, pie graphs.
5. Output processing, pivoting tables, editing charts and graphs.
6. Contingency tables, independence testing.
7. Principles of hypothesis testing, T-tests, the good-fit test.
8. Independece analysis, ANOVA.
9. Correlation.
10. Regression.
2. Continuous variables: descriptive statistics, boxplots, histograms.
3. Modifying the data file, transforming variables, split files, merge files.
4. Categorical variables: frequency tables, bar graphs, pie graphs.
5. Output processing, pivoting tables, editing charts and graphs.
6. Contingency tables, independence testing.
7. Principles of hypothesis testing, T-tests, the good-fit test.
8. Independece analysis, ANOVA.
9. Correlation.
10. Regression.