RU Misconception of Hypothesis Question – Question Description
I’m working on a statistics multi-part question and need the explanation and answer to help me learn.
1. Name 1 misconception of hypothesis testing and explain what its proper interpretation is.
2. Why is it a good idea to follow up your hypothesis test with a measure of effect size?
3.Explain the difference between the null and alternative hypotheses.
4. Explain what the probability level means. Why is it important for hypothesis testing?
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