Pt. I: Introduction and descriptive statistics. Introduction and overview
Data presentation
Central tendency
Measures of variability
Shape of distribution
The concept of relationship and relationship between categorical variables
The odds ratio and other measures for categorical variables
Correlation and regression
Standardized mean difference
Research design and causality
Controlling for confounding variables
Pt. II: Inferential statistics and data interpretation. An introduction to inferential statistics
Confidence intervals for means and proportions
The logic of statistical significance tests
The large sample test of the mean and new concepts
Statistical power and selected topics
The t distribution and one-sample procedures for means
Independent samples t test and dependent samples t test
One-sample tests of proportions
The chi-square test of independence
Analysis of variance
More significance tests and reasoning with test results
An overview of selected multivariate procedures
Generalizability, importance, and a data interpretation model.