Levene’s Test using Scipy
Now let’s look at the code implementation for Levene’s test using the Scipy package in Python which was dedicatedly built for complex mathematical computations in Python.
Python3
from scipy.stats import levene # define groups group_1 = [ 14 , 34 , 16 , 43 , 45 , 36 , 42 , 43 , 16 , 27 ] group_2 = [ 34 , 36 , 44 , 18 , 42 , 39 , 16 , 35 , 15 , 33 ] # define alpha alpha = 0.05 # now we pass the groups and center value # from the following # ('trimmed mean', 'mean', 'median') w_stats, p_value = levene(group_1, group_2, center = 'mean' ) if p_value > alpha: print ( "We do not reject the null hypothesis" ) else : print ( "Reject the Null Hypothesis" ) |
Output:
We do not reject the null hypothesis
Levene’s test
In this article, we will learn about Levene’s test which is generally used to assess the equality of variances between two or more groups or samples.