FAQ: Hypothesis Testing: Associations - Tukey's Range Test

This community-built FAQ covers the “Tukey’s Range Test” exercise from the lesson “Hypothesis Testing: Associations”.

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This exercise can be found in the following Codecademy content:

Master Statistics with Python

FAQs on the exercise Tukey’s Range Test

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Maybe others were curious about the context of the function and where to put the data and where to put the dependent variables, and alpha. The syntax of the function was not explained well where the data frames needed to go. As the previous t-tests Store A and B could be in any order to be run not the case with how this function needs its input and the data is structured.

How to use the tukey function is as follows:
pairwise_turkey(df.data, df.groups, alpha)

df.data = ndarray with data to be compared in this example it was the column of sales from the different stores.
df.groups = The groups associated with the data in this case it was the column of stores A, B, and C.
alpha= significance level 0.05

tukey_results = pairwise_tukeyhsd(veryants.Sale, veryants.Store, 0.05) print(tukey_results)

Documentation info can be found here:
https://www.statsmodels.org/0.8.0/generated/statsmodels.stats.multicomp.pairwise_tukeyhsd.html

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Why was the test between b and c not significant in the Tukey exercise but in the t-tests we created it was? I thought Tukey is also running a t-test.

So would it be safe to say that the first input variable should be the array with the quantitative variables in it, and the second one should be the array with the categorical variables in it?