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A one-sample T-test checks if the average value of a sample is different from a known average value of the population. It helps determine if the sample comes from a population with that average.
from scipy.stats import ttest_1samp
# Testing if the average of example_distribution is different from expected_mean
t_stat, p_val = ttest_1samp(example_distribution, expected_mean)
Tukey's test helps compare the means of several groups to see if there are significant differences between them. It's useful after an initial test shows there might be differences.
from statsmodels.stats.multicomp import pairwise_tukeyhsd
# Comparing means of different groups in the data
# 'labels' indicates group names and 'alpha' is the significance level
tukey_results = pairwise_tukeyhsd(data, labels, alpha=0.05)
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