Get startedGet started for free

t-test vs. Mann-Whitney U test

A t-test and a Mann-Whitney U test can both assess whether two groups are significantly different. An independent t-test is a parametric test assessing the means of the groups while the Mann-Whitney U test is non-parametric and assesses the rank order of the groups. If the data is normally distributed, either test can be performed but the Mann-Whitney U test is less sensitive and makes fewer assumptions about the underlying data.

In this exercise, you'll run both tests on the same dataset to assess whether your A/B groups of students that had access to a laptop/desktop or a smartphone for course work spent more time on social media during Covid-19.

The covid dataset, and the pwr and effectsize packages have been loaded for you.

This exercise is part of the course

A/B Testing in R

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Run an independent t-test assessing time on social media
t.test(___, data = ___, var.equal = ___)

cohens_d(___, data = ___)
Edit and Run Code