| Title | These resources will help you to: | Resource |
|---|---|---|
| Introduction to Statistics | ♦ Understand variable & data types
Hypothesis testing ♦ Parametric & non-parametric tests |
|
| Hypotheses, Tests Statistics & P-Values |
♦ Understand hypothesis generation ♦ Frequency distributions ♦ Test statistics & p values |
|
| Choosing the Right Test | ♦ Understand types of data & variable ♦ Choose appropriate statistical tests ♦ Flowchart for statistical testing |
|
| Correlation | ♦ Understand the correlation coefficient and its interpretation | |
| Chi-Squared Test | ♦ Understand the Chi-Squared test for associations between categorical variables | |
| Independent Samples T-Test |
♦ Understand the T-test to compare means between two unrelated groups |
|
| Paired Samples T-Test | ♦ Understand the T-test to compare means between two paired, repeated, or matched groups | |
| One-Way ANOVA | ♦ Define, perform, and interpret results of a one-way ANOVA
|
|
| Two-Way ANOVA | ♦ Define, perform, & interpret results of a two-way ANOVA | |
| Non-Parametric Tests |
♦ To understand the Mann-Whitney Test, Kruskal-Wallis Test, Wilcoxon signed-rank Test, & Friedman’s ANOVA |
|
| Simple Linear Regression | ♦ Define regression analysis & regression line ♦ Use least squares to find the line of best fit | |
| Regression and Correlation | ♦ Calculate the equation of a regression line ♦ Correlation coefficient ♦ Coefficient of determination | |
| Multiple Regression | ♦ Perform regression analysis with more than one independent variable |
