What are the assumptions of the t-test in Python?
The t-test assumes that the data is normally distributed, the samples are independent, and the variances are equal.
How can I check if my data meets these assumptions?
You can use visual methods like Q-Q plots for normality and Levene's test for equal variances.
Can you show me a code example for checking these assumptions?
Sure! You can use libraries like scipy
and matplotlib
to create Q-Q plots and perform Levene's test.
What if my data doesn't meet these assumptions?
If the assumptions are violated, you might consider using non-parametric tests like the Mann-Whitney U test.
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