What are the assumptions of statistical tests?
An example of an AI chatbot conversation about the assumptions underlying statistical tests.
What are the assumptions of statistical tests?
Statistical tests often rely on certain assumptions to produce valid results. Common assumptions include normality, independence, and homogeneity of variance.
Can you explain what normality means in this context?
Normality refers to the assumption that the data follows a normal distribution. This is important for many parametric tests.
What happens if the assumptions are violated?
If assumptions are violated, the results of the statistical tests may be invalid, leading to incorrect conclusions.
Are there tests that don't require these assumptions?
Yes, non-parametric tests do not rely on these assumptions and can be used when the data doesn't meet them.
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