Levene's test - Tutorial using Python and SciPy

Published: 13 July 2020
on channel: Anderson Canteli
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This video shows a tutorial on how to perform Levene's test using the Python language! Levene's test is a test used to compare variance of two or more groups, that is, the concept of homogeneity of variances or homoscedasticity between groups.

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By using experimental data, the Levene's test is applied and two variations of the same pattern suggested by Brown and Forsythe applying a differential processing to the procedure proposed by Levene.

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Bibliography:

SciPy documentation for Levene's test:
https://docs.scipy.org/doc/scipy/refe...

Levene test:
Levene, H.. In Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling, I. Olkin et al. eds., Stanford University Press, pp. 278-292, 1960;

Brown-Forsythe test:
Morton B. Brown & Alan B. Forsythe (1974) Robust Tests for the Equality of Variances, Journal of the American Statistical Association, 69:346, 364-367, DOI: 10.1080/01621459.1974.10482955

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Looking for help analyzing your experimental data?
I have extensive experience in validation of calibration curves, comparison of means, experimental designs and regression analysis (linear and non-linear)
Contact by email: andersonmdcanteli@gmail.com

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