Estimating Sample Size in Python

Published: 07 March 2026
on channel: Stat-Tree

This video demonstrates how to use Power Analysis in Python to estimate the needed minimum sample size to obtain a significant result at a given effect size in a proposed study (a priori). This video demonstrates what type of variables are relevant for the Power Analysis. The procedures for test are demonstrated. The output for the test is described.

Chapters:

0:09 The purpose of this demonstration
0:18 Estimating sample size for study approval
0:26 Conducting the statistical test
0:39 Specifying the study parameters (in the code)
0:57 Examining the results of the statistical test
1:33 Where to find test output

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https://www.stat-tree.com/

Reference:

Cohen, J. (1988). Statistical Power analysis for the behavioral sciences (2nd ed.), Hillsdale: Lawrence Erlbaum.

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