Question

answer the following true or false:
suppose a hypothesis test was performed with a level of significance of 0.05. then if the null hypothesis is actually true, then there is a 5% chance that the researcher will end up accepting the alternative hypothesis in error.
o false
o true
hint:
help

Explanation:

The significance level ($\alpha$) in a hypothesis test is the probability of making a Type I error. A Type I error occurs when we reject the null hypothesis ($H_0$) when it is actually true. Here, $\alpha = 0.05$ means there is a 5% chance of rejecting the null hypothesis when it is true (i.e., accepting the alternative hypothesis in error).

Answer:

true