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Multiple Choice
A) The probability of type I error,
Is computed using the probability distribution of the test statistic when the null hypothesis is true.
B) The probability of type II error,
Requires knowing the distribution of the test statistic when the null hypothesis is false.
C) The probability of type I error,
Is computed by summing over probabilities of test statistic values in the rejection region.
D) The probability of type II error,
Is computed by summing over probabilities of test statistic values in the complement of the rejection region.
E) All of the above statements are true.
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A) .008
B) .992
C) .016
D) .492
E) .496
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Multiple Choice
A) The two possible conclusions from a hypothesis-testing analysis are rejecting the null hypothesis
Or accepting
)
B) In many situations, the alternative hypothesis
Is referred to as the "research hypothesis" since it is the claim that the researcher would really like to validate.
C) In our treatment of hypothesis testing, the null hypothesis will always be stated as an equality claim.
D) A test statistic is a rule, based on sample data, for deciding whether to reject the null hypothesis.
E) All of the above statements are correctly stated.
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Multiple Choice
A) A type I error is usually more serious than a type II error.
B) A type II error is usually more serious than a type I error.
C) A test with significance level
Is one for which the type I error probability is controlled at the specified level.
D) When an experiment and a sample size are fixed, then decreasing the size of the rejection region to obtain a smaller value of
(probability of type I error) results in a larger value of
(probability of type II error) for any particular parameter value consistent with the alternative hypothesis
)
E) None of the above statements are true.
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Multiple Choice
A) The test procedure requires the use of standard normal distribution.
B) The test procedure requires the use of binomial distribution.
C) The test procedure requires the use of exponential distribution.
D) The test procedure requires the use of t-distribution with 15 degrees of freedom.
E) None of the above statements are true.
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Multiple Choice
A) When the results of an experiment are to be communicated to a large audience, rejection of
At level
Will be much more convincing if the observed value of the test statistic greatly exceeds the
Critical value than if it barely exceeds that value.
B) A large P-value would indicate statistical significance in that it would strongly suggest rejection of
C) In many experimental situations, only departures from
Of small magnitude would be worthy of detection, whereas a large departure from
Would have little practical significance.
D) All of the above statements are true.
E) None of the above statements are true.
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