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A significance level of 0.05 implies that Group of answer choices if performing a large amount of hypotheses test via repeated sampling, we would make

A significance level of 0.05 implies that

Group of answer choices

if performing a large amount of hypotheses test via repeated sampling, we would make a Type I error 5% of the time.

there is a 5% chance that we reject a trueH0

there is a 95% chance that our results are correct.

both (a) and (b)

both (a) and (c)

What are the assumptions to be checked when working a proportions hypothesis test?

Group of answer choices

DoesX

Xfollow a binomial distribution?

DoesX

Xfollow a normal distribution?

Are bothnp0

andnq 05

3 If we do not reject the null hypothesis when the alternative hypothesis is true, we have made a

Group of answer choices

Type I error.

Type II error.

Type

error.

Type

error.

correct decision.

4 Consider a scenario where a Type II error is more severe than a Type I error.

Pick the most reasonable value for

Group of answer choices

0.01

0.05

0.10

0.95

5 A statistical power of 95% implies that

Group of answer choices

the probability that the alternative hypothesis is true is 95%.

there is a 95% probability thatH

0

H0will be rejected if it is false.

there is a 95% probability thatH

0

H0is false.

thep

p-value for the study will be 5%.

6 A course grade depends on the numbers of days absent from a class.What is the response variable?

Group of answer choices

The students

The professor

The time of class

The course grade

The number of days absent from class

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