Why is having a random sample important?

We want to show that the average starting salary is less than $45,000. What would a Type I error mean in terms of this problem?

We want to show that less than 40%of students do Aerobics.What would a Type I error mean in terms of this problem?

We want to show that the true average reaction time in students is greater than 175 ms. What would a Type II error mean in terms of this problem?

We want to show that reaction time in students is greater than 175 milliseconds. What are the correct hypotheses?

Group of answer choices

Ho: 175, Ha: < 175

Ho: 175, Ha: > 175

Ho: P = 175, Ha: P< 175

Ho: P 175, Ha: P > 175

When selecting a significance level, why should we consider the consequences of a type I error?

Why do we say that we "fail to reject" the null instead of saying "accept?"