What are the assumptions of hypothesis testing?
The main assumptions of hypothesis testing include normality, independence, and homogeneity of variance. Would you like to know more about each?
Yes, please explain normality.
Normality assumes that the data follows a normal distribution. This is crucial for many statistical tests to be valid.
What if my data isn't normally distributed?
If your data isn't normally distributed, you might consider using non-parametric tests or transforming your data to meet the assumption.
What are non-parametric tests?
Non-parametric tests are statistical tests that do not assume a specific distribution for the data, making them useful for non-normal data.
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