Using R to perform one-sample t-tests.
These are all of the instructions for Lab 5. The list of labs is here.
This repository contains R labs for R package ({psychRstats}) based on Bard College’s Statistics for Psychology (PSY 203, Fall 2020), taught by Assistant Professor of Psychology Justin Dainer-Best.
For each lab, you should expect to download the lab’s files locally to your computer, and run them there. If you’re using https://rstudio.cloud/ instead of running things locally, the same instructions should work today.
Below are instructions for Lab 5.
The following lab builds on your skills with ggplot2, using filter(), and helps you practice using z-scores and t-scores to test simple sample means. This lab anticipates that you have read or have a background on t-tests; however, most of the lab reviews material you have already covered in previous labs.
Set your working directory if necessary. Check that you’re in the directory you expect by running getwd() in the Console. If you need more help, look at the wiki page on setting a working directory.
There is no tutorial today; you’ll be focusing on an R Markdown file.
Check that you’re in the directory you expect by running getwd() (the parentheses should have nothing in them).
This exercise explores the commands you learned and lets you continue practicing the steps of hypothesis testing.
You may be able to open the file from the correct working directory by running the following code:
library(psychRstats)
run_exercise("05-exercise")
A version of the document with solutions can be seen here.
For attribution, please cite this work as
Dainer-Best (2020, Sept. 28). psychRstats: Learning Statistics for Psychology in R: 05: One-Sample t-tests. Retrieved from https://jdbest.github.io/psychRstats/labs/05-one-sample-t-test/
BibTeX citation
@misc{dainer-best202005:,
author = {Dainer-Best, Justin},
title = {psychRstats: Learning Statistics for Psychology in R: 05: One-Sample t-tests},
url = {https://jdbest.github.io/psychRstats/labs/05-one-sample-t-test/},
year = {2020}
}