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we are about to test a hypothesis using data from a well-designed study. which is true? i. a large p-value would be strong evidence against the null hypothesis. ii. we can set a higher standard of proof by choosing

User Ippi
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Answer:

Neither of the statements are true.

i. A large p-value indicates weak evidence against the null hypothesis. A small p-value (typically less than 0.05) is strong evidence against the null hypothesis.

ii. We cannot set a higher standard of proof by choosing a lower significance level (alpha) because doing so would increase the likelihood of making a Type II error, which is failing to reject a false null hypothesis. The level of significance should be chosen based on the goals of the study and the consequences of making a Type I or Type II error.

User Spechter
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Answer: 2+2

Step-by-step explanation: easy math

User Reyna
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