23. A Type I error occurs when a treatment actually does have an effect on the s

Question

23. A Type I error occurs when a treatment actually does have an effect on the scores but the effect was not large enough to reject the null hypothesis.

True

False

24. Which combination of factors will increase the chances of rejecting the null hypothesis?

a. A small standard error and a large alpha level

b. A large standard error and a large alpha level

c. A small standard error and a small alpha level

d. A large standard error and a small alpha level

25. You can reduce the risk of a Type I error by using a larger sample.

False

True

Explanation / Answer

23. True because type I error occurs when null hypothesis is rejected falsely.

24."a small standard error and a large alpha level" because small standard error gives large test statistic and large alpha value increase the chances of rejecting the null hypothesis.

25. False, large sample size increases the power of the test. so the risk of type II error decreases not type I error.

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