Table of Contents


Graphical Summaries
Numerical Summaries
General R Commands
General R Markdown Hints

1 Quantitative Variable

Examples of 1 Quantitative Variable tests:

Wilcoxon Signed-Rank Test Wilcoxon tests allow for the testing of hypotheses about the value of the the median without assuming the test statistic follows any parametric distribution. They are often seen as nonparametric alternatives to the various t tests. However, they can also be used on ordinal data (data that is not quite quantitative, but is ordered) unlike t tests which require quantitative data.
Wilcoxon Signed-Rank Test

One Sample t Test A one sample t test is used when there is a hypothesized value for the population mean \(\mu\) of a single quantitative variable.
Sleep One Test

1 Quantitative Variable | 2 Groups

Examples of 1 Quantitative Variable | 2 Groups tests:

Independent Samples t Test The independent samples t test is used when a value is hypothesized for the difference between two (possibly) different population means, \(\mu_1 - \mu_2\).
Sleep Independentt

Wilcoxon Rank Sum (Mann-Whitney) Test For testing the equality of the medians of two (possibly different) distributions of a quantitative variable.
Bug Spray

1 Quantitative Variable | 3+ Groups

2 Quantitative Variables

1 Quantitative Response | Multiple Explanatory Variables

Binomial Response | 1 Explanatory Variable

Binomial Response | Multiple Explanatory Variables

2 Qualitative Variables