Quick Tutorials

In this tutorial, we will show you how to conduct and interpret a paired samples t-test in R, and how to report the results. The paired samples t-test, also known … Read more

The independent samples t-test compares the means of a continuous dependent variable (e.g., exam scores) for two independent groups (e.g., males and females) to determine whether there is a significant difference … Read more

Levene’s test is used to determine whether the variance of a numeric variable (e.g., exam scores) is equal across two or more groups (e.g., male students and female students).  That … Read more

It is an assumption of many statistical tests that our data be normally distributed.  There are two broad approaches to testing normality.  The first is to assess it visually, by reviewing … Read more

Histograms allow us to visualize the distribution of quantitative variables like exam scores. In this tutorial we will show you how to create and customize a histogram in R using … Read more

Scatter plots give us a helpful way of visualizing the relationship between two numeric variables.  In this tutorial, we will  show you how to create a scatter plot in R … Read more

In this tutorial, we will show you one of the easiest methods you can use to import CSV files into R.   We will be working with RStudio, a program that … Read more

In this tutorial, we will show you how to generate random numbers in R. Specifically, we will show you how to generate random numbers from both uniform distributions and normal … Read more

In this tutorial, we will show you one of the easiest ways to import Excel (.xlsx and .xls) files into R using the readxl package.   We will be working with … Read more