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.
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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
A. Type I
B. Type II
C. Null
D. One-tailed
A. A Type II error
B. Statistical significance
C. The alternative hypothesis
D. All of these
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
A. Failing to reject a false
B. Rejecting a false
C. Failing to reject a true
D. Rejecting a true
A. Type I
B. Type II
C. Null
D. One-tailed
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
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
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.
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
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
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
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.
A. Significance level
B. Statistical level
C. Correlation level
D. All of these
A. True
B. False
A. Accepting
B. Rejecting
C. Modifying
D. None
A. Accepting
B. Rejecting
C. Modifying
D. None
A. True
B. False
A. Obtained value
B. Constant value
C. Variable value
D. All of these