What are some common mistakes in hypothesis testing?

What are some common mistakes in hypothesis testing?

Some common mistakes include misunderstanding p-values, failing to check assumptions, and not considering effect size.

Can you explain what a p-value is?

A p-value measures the probability of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true.

What assumptions should I check before conducting a hypothesis test?

You should check for normality, independence, and homogeneity of variance, depending on the test you are using.

How can I avoid these mistakes in my analysis?

To avoid mistakes, ensure you understand the theory behind the tests, use proper statistical software, and consult resources or experts.