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Univariate Normality Tests using Python

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How to test the assumption of univariate normality in Python.
The Kolmogorov-Smirnov One-sample Test or the Shapiro-Wilk tests the assumption of normality for subsequent parametric analysis. This video demonstrates what type of variables are relevant for multivariate analysis using a dataset derived from a survey instrument. The survey instrument is presented showing the items measuring the variables for the test. The dataset is shown within the statistical program being used for the test. The procedures for test are demonstrated. The output for the test is described.
Chapters:
0:00 Statistical test name and description
0:30 Variable types and number
0:38 Survey instrument description for variable measurement and sample items
0:50 Conducting the statistical test
1:24 Examining the results of the statistical test
2:17 Where to find sample output
The Stat-Tree code for this test can be found at:
For more information, visit:
The Kolmogorov-Smirnov One-sample Test or the Shapiro-Wilk tests the assumption of normality for subsequent parametric analysis. This video demonstrates what type of variables are relevant for multivariate analysis using a dataset derived from a survey instrument. The survey instrument is presented showing the items measuring the variables for the test. The dataset is shown within the statistical program being used for the test. The procedures for test are demonstrated. The output for the test is described.
Chapters:
0:00 Statistical test name and description
0:30 Variable types and number
0:38 Survey instrument description for variable measurement and sample items
0:50 Conducting the statistical test
1:24 Examining the results of the statistical test
2:17 Where to find sample output
The Stat-Tree code for this test can be found at:
For more information, visit: