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Using a dataset about puppy training, we learn how to set up and run an independent samples t test. We import data into JASP, conduct the test, interpret the results and write up the findings. We will learn to check the assumptions of homogeneity of variance using a Levene’s test and normality using a Shapiro Wilk test. Finally, we learn about the comparative power of a t test, and Cohen’s d effect size, based on your research design. You should watch both this video and How to do a Paired Samples t Test in JASP (11-11) to fully understand these two tests. Link to How to do a Paired Samples t Test in JASP (11-11): • How to do a Paired Samples t Test in JASP ... Download the Friendly, Free, Flexible, Functional JASP software from the official JASP statistics website: https://jasp-stats.org This video teaches the following commands and techniques in JASP: Importing a CSV into JASP Independent samples t test This video uses the dataset PuppyTrainingIndep.csv and JASP version 11.1 Link to a Google Drive folder with all of the files that I use in the videos including spreadsheets, the Bear Handout, and datasets. As I add new files, they will appear here, as well. https://drive.google.com/drive/folder... To download, hover your cursor over the file icon and a blue download icon will appear. You do not need to request access to a file.