For this section of the quiz, circle \"True\" if the statement is always true an

Question

For this section of the quiz, circle "True" if the statement is always true and "False" otherwise. If you would like to qualify/clarify your answer, maybe by explaining yourself more, I provide space for that. These are two points each. True False Tests with more assumptions tend to have higher power than tests with fewer assumptions. True False Increasing the Type I error rate results in a higher Type II error rate, all things equal. True False The Central Limit Theorem states that as the sample size increases, the distribution of the data becomes more Normal (as long as the data have a finite variance). True False How you collect your data has no effect on its distribution. True false The non-parametric can be used if you are unsure about the data-generating process, but you are sure that the data are independent and are representative of the population.

Explanation / Answer

1) False

2) False

If we increase type I error automatically Type II error will decrease .

3) If n is very large any distribution tends normal is True

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