Question: Q4. There are five important misconceptions about hypothesis testing below. For each one, explain why the statement is incorrect by providing the proper interpretation. (5

Q4. There are five important misconceptions about hypothesis testing below. For each one, explain why the statement is incorrect by providing the proper interpretation.(5 points - 1 point for each sub-question)

A. Misconception: The p-value is the probability that the null hypothesis is false.

B. Misconception: A low p-value indicates a large effect.

C. Misconception: A p-value of 0.025 means that the alternative hypothesis has greater significance than if the p-value were 0.04.

D. Misconception: A non-significant outcome means that the null hypothesis is probably true.

E. Misconception: Rejecting the null hypothesis means that the alternative hypothesis has been proven to be true.

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