EDA 3

Question 1

is a statement about the parameters of one or
more populations.

Answer 1

statistical hypothesis

Question 2

also known as the rejection region, is the set of values that rejects
the null hypothesis in favor of the alternative hypothesis

Answer 2

Critical region

Question 3

the interval within the sampling distribution that is consistent with
the null hypothesis
- it fails to reject the null hypothesis

Answer 3

Acceptance region

Question 4

the boundaries between the critical regions and the acceptance
region

Answer 4

Critical values

Question 5

Rejecting the null hypothesis H0 when it is true

Answer 5

Type I Error

Question 6

Since the analyst can directly control the probability of wrongly rejecting H0 , we always think of rejection of the null hypothesis H0 as a

Answer 6

strong conclusion.

Question 6

Failing to reject the null hypothesis when it is false

Answer 6

Type II Error

Question 7

of a statistical test is the probability of rejecting the null hypothesis H0 when the
alternative hypothesis is true.

Answer 7

power

Question 8

Because the pe II error probability β is a function of both the sample size and the extent to which the null
hypothesis H0is false, it is customary to think the decision to accept H0

as a

Answer 8

weak conclusion

Question 9

of a hypothesis test is the probability of obtaining a sample statistic with a value as extreme or more extreme than the one determined from the sample data.

Answer 9

P-value