Significantly Significant in Statistics MCQs

Significantly Significant in Statistics MCQs

These Significantly Significant in Statistics multiple-choice questions and their answers will help you strengthen your grip on the subject of Significantly Significant in Statistics. You can prepare for an upcoming exam or job interview with these Significantly Significant in Statistics MCQs.
So scroll down and start answering.

1: A Type I error occurs when we say that something ______.

A.   Works when it really does

B.   Doesn’t work when it really does

C.   Works when it really doesn’t

D.   Doesn’t work when it really doesn’t

2: Rejecting H0 when we should have failed to reject it is a ______ error.

A.   Type I

B.   Type II

C.   Null

D.   One-tailed

3: When the probability of a Type I error is less than .05, we say that we have observed ______.

A.   A Type II error

B.   Statistical significance

C.   The alternative hypothesis

D.   All of these

4: Which of the following accurately defines a Type I error?

A.   Rejecting a null hypothesis when it is true

B.   Retaining a null hypothesis when it is true

C.   Rejecting a null hypothesis when it is false

D.   Retaining a null hypothesis when it is false

5: The power of a statistical test is the probability of ______.

A.   Failing to reject a false

B.   Rejecting a false

C.   Failing to reject a true

D.   Rejecting a true

6: Failing to reject H0 when we should have rejected it is a ______ error.

A.   Type I

B.   Type II

C.   Null

D.   One-tailed

7: If researchers report that the results from their study were significant, p < 0.05, this means that ______.

A.   If they conducted the study over, they would get the same results less than 5 times in 100

B.   The results are untrustworthy

C.   We would expect the results to occur by chance less than 95 times out of 100

D.   We would expect the results to occur by chance less than 5 times out of 100

8: Which of the following accurately defines a Type II error?

A.   Rejecting when it is true

B.   Failing to reject when it is true

C.   Rejecting when it is false

D.   Failing to reject when it is false

9: What does it mean when a computer printout reads “p = 0.03”?

A.   The result falls in the extreme 3% of the sampling distribution and the probability of a Type I error is 0.03.

B.   The result falls in the extreme 3% of the sampling distribution and the probability of a Type II error is 0.03.

C.   The probability of a Type I error (0.03) is smaller than α (0.05), and, therefore, the results are nonsignificant.

D.   The probability of an error should be reported as p < 0.01.

10: Which of the following tests is considered more powerful?

A.   A one-tailed test

B.   A two-tailed test

C.   Neither; they are both equally statistically powerful

D.   Which is more powerful depends on the sample size

11: If you reject the null hypothesis, which of the following may occur?

A.   A correct decision or a Type I error

B.   A Type I error or a Type II error

C.   A correct decision or a Type II error

D.   A correct decision or a Type I error or a Type II error

12: Power is equal to ______.

A.   The value of the Type II error subtracted from 1

B.   The value of Type I error subtracted from 1

C.   1 subtracted from the value of the Type II error

D.   1 subtracted from the value of the Type I error

13: What happens to the probability of committing a Type I error if the level of significance is changed from alpha = 0.01 to alpha = 0.05?

A.   The probability of committing a Type I error will decrease.

B.   The probability of committing a Type I error will increase.

C.   The probability of committing a Type I error will remain the same.

D.   The change in probability will depend on your sample size.

14: The risk set by the researcher for rejecting a null hypothesis when it is true is called

A.   Significance level

B.   Statistical level

C.   Correlation level

D.   All of these

15: Statistical significance is also called significance level.

A.   True

B.   False

16: The probability of ____a null hypothesis when it is true.

A.   Accepting

B.   Rejecting

C.   Modifying

D.   None

17: The probability of ____ a null hypothesis when it is false.

A.   Accepting

B.   Rejecting

C.   Modifying

D.   None

18: Obtained value is statistical value

A.   True

B.   False

19: The value that results from the application of a statistical test is called

A.   Obtained value

B.   Constant value

C.   Variable value

D.   All of these