Video (16:57) from Research by Design in which, “The One Sample t-Test is a parametric procedure that tests whether a sample mean is statistically significantly different than a population mean or other known value. We will open a CSV dataset in JASP, check the assumptions of the test, conduct the one sample t-test, interpret the findings, and write up the results in APA style.”

Video (14:50) “Using the same data about puppy training, we learn how to set up and run a paired samples t test. We import data into JASP, conduct the test, interpret the results and write up the findings. We check the assumption of normality using a Shapiro Wilk test. Finally, examine why these same data yielded non-significant results with the independent samples t test, but were significant with this test. You should watch both this video and How to do an Independent Samples t Test in JASP (11-10) to fully understand these two tests.”

If you’d like to have any of the files used in the video, you can access them here.

You can find other videos from the Statistics with JASP for Beginners series here.

To download JASP (it’s free!), you can click here.