Type II error changes from 0.10 to 0.05. C. The chance of committing a Type I error changes from 0.10 to 0.05. D. It becomes easier to prove that the null hypothesis is true. E. It becomes harder to prove that the null hypo
When one changes the significance level of a hypothesis test from 0.10 to 0.05, which of the following will happen? Check all that apply.
A. The test becomes more stringent to reject the null hypothesis (i.e., it becomes harder to reject the null hypothesis).
B. The chance of committing a Type II error changes from 0.10 to 0.05.
C. The chance of committing a Type I error changes from 0.10 to 0.05.
D. It becomes easier to prove that the null hypothesis is true.
E. It becomes harder to prove that the null hypothesis is true.
F. The test becomes less stringent to reject the null hypothesis (i.e. it becomes easier to reject the null hypothesis).
G. The chance that the null hypothesis is true changes from 0.10 to 0.05.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
