12) Setting the significance level cutoff at .10 instead of the more usual .05 i
ID: 3201296 • Letter: 1
Question
12) Setting the significance level cutoff at .10 instead of the more usual .05 increases the likelihood of A) a Type I error. B) a Type II error. C) failing to reject the null hypothesis. D) accepting the null hypothesis when, in fact, it is false. 12) Setting the significance level cutoff at .10 instead of the more usual .05 increases the likelihood of A) a Type I error. B) a Type II error. C) failing to reject the null hypothesis. D) accepting the null hypothesis when, in fact, it is false. 12) Setting the significance level cutoff at .10 instead of the more usual .05 increases the likelihood of A) a Type I error. B) a Type II error. C) failing to reject the null hypothesis. D) accepting the null hypothesis when, in fact, it is false.Explanation / Answer
Answer A) type 1 error
Which is the incorrect rejection of a true null hypothesis.
Higher the significance level, reduction in the region of acceptance. As a result, you are more likely to reject the null hypothesis. This means you are less likely to accept null hypothesis when it is false i.e less likely to make a type II error
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.