JASP 0.10 Tutorial: One Sample T-test (Episode 6)

In this JASP tutorial, I go through a One-Sample t-test example, discussing and explaining each option you can use to fully explore the test.
The data presented here is mine and is unpublished. I am using it for demonstration purposes only. Proper credit should be given if used elsewhere.
Find me on Twitter: @ProfASwan
Go to my website: swanpsych.com

[@pasqualegiorio3651]

Dear Prof. Swan I could not find the episode #5, is it actually missed on youtube?

[@AlexanderSwan]

Not sure why it wasn't available for you, but here it is! ruclips.net/video/M0N-v6W-7P4/видео.html

[@tonydipisxg9840]

Where i can use your .csv files

[@AlexanderSwan]

Most of them are available in JASP upon download. Other ones I use in videos that aren’t linked in the description are not shareable.

[@agentstona]

Why did you not use Z test and only use wilcoxon and student .. at 8.46 so you found that its not normal and decided to use wilcoxon why not z test ?

[@AlexanderSwan]

Howdy! Great question: z-tests are useful insofar as you know the population mean/standard deviation. Many times, we might know the pop mean, but not the std dev. If you don't know the std dev, you have to do a one-sample t-test. If the sample distribution is not normal, then you violate the assumption for t-tests. It doesn't mean you can go back to using a z-score, however, because we're estimating the sample std dev. We have to go for a nonparametric test in this case, so we do not make a Type I error.

[@agentstona]

@@AlexanderSwan thank you sir