Stats Apps Tutorials: 10. Are your data normally distributed? Outliers? What next?

Links to video sections and data files are in the description below. In this video we look at some data sets with problems with normality and with outliers. We then test for normality, create some plots of the data, and use some transformations and other techniques to try to improve the data sets. This is shown in Excel, SPSS, JASP, and R.
*note the Excel portion needs to have the Data Analysis Toolpak enabled. See my earlier video: • Stats Apps Tutorials: ...
Data files used in this video:
RT_data_outliers.csv: www.mediafire.com/file/rck4rg...
RT_data_outliers.sav: www.mediafire.com/file/s88qd1...
RT_data_outliers_long.csv:
www.mediafire.com/file/jm3l3p...
RT_data_outliers_long.sav:
www.mediafire.com/file/dnanmv...
Sections:
00:00​ Introduction
00:32 Normality and outlier checks in Excel
05:05 Normality and outlier checks in SPSS
08:50 Normality and outlier checks in JASP
10:48 Normality and outlier checks in R
18:45 Trimming data in Excel
22:08 Cleaning data in SPSS (using z-scores)
30:09 Cleaning data in R (trimming / Winsorizing)
38:00 Bootstrapped t-test in R
41:48 Bootstrapped t-test in SPSS
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