A) This is a statistically significant and important difference.
B) This difference may be statistically significant but it seems unimportant.
C) This difference is due to random chance.
D) The researcher should have used sample means rather than proportions in this situation.
Correct Answer
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Multiple Choice
A) the standard deviation of the sampling distribution
B) the standard deviations of the samples
C) the population means
D) the critical region
Correct Answer
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Multiple Choice
A) nominal.
B) ordinal.
C) interval-ratio.
D) any of the above
Correct Answer
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Multiple Choice
A) sample means
B) population means
C) sampling distributions
D) population standard deviations
Correct Answer
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Multiple Choice
A) important,due to random chance
B) unimportant,large
C) important,unimportant
D) unimportant,important
Correct Answer
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Multiple Choice
A) must use only cluster sampling.
B) may randomly select cases from one list of the population,then subdivide that sample according to the trait of interest.
C) may randomly select an entire neighborhood,then select any member of each family in that neighborhood.
D) must select only very small populations.
Correct Answer
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Multiple Choice
A) The difference is statistically significant,large,and important.
B) The difference is not statistically significant and was probably caused by random chance.
C) There is no gender gap in income in the United States.
D) This difference is statistically significant but quite small.
Correct Answer
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Multiple Choice
A)
B) m > 0.
C) m = m.
D) s = s.
Correct Answer
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Multiple Choice
A) the difference is significant,there are differences between the parties on this issue
B) the difference is significant,the parties are the same on this issue
C) the difference is not significant
D) a Type I error has occurred
Correct Answer
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Multiple Choice
A) Test 1
B) Test 2
C) Test 3
D) Test 4
Correct Answer
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Multiple Choice
A) theoretically important.
B) practically important.
C) sociologically important.
D) none of the above
Correct Answer
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Multiple Choice
A) samples are different on the trait of interest.
B) populations from which the samples are drawn are different on the trait of interest.
C) samples are not different on the trait of interest.
D) populations from which the samples are drawn are not different on the trait of interest.
Correct Answer
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Multiple Choice
A) the information on income came from the U.S.Bureau of the Census
B) the income of males,on the average,was almost twice that of females
C) the test compared only people who worked full time
D) the test compared only people who had a least a high school education
Correct Answer
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Multiple Choice
A) population standard deviations.
B) the standard error of the means.
C) degrees of freedom.
D) sample standard deviations corrected for bias.
Correct Answer
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Multiple Choice
A) sample sizes are exactly the same.
B) sample sizes are varied.
C) sample sizes are approximately equal.
D) none of the above;we cannot assume equal population variance
Correct Answer
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Multiple Choice
A) more important the observed difference.
B) more likely we are to reject the null hypothesis.
C) less likely we are to reject the null hypothesis.
D) lower the Z score.
Correct Answer
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Multiple Choice
A) the value of the sample means.
B) the value of Z (obtained) .
C) the sample proportions.
D) the sample standard deviations.
Correct Answer
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Multiple Choice
A) the population standard deviations
B) the population means
C) the standard deviation of the sampling distribution
D) the alpha value
Correct Answer
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Multiple Choice
A) never
B) when sample size is very large
C) when one sample is much larger than the other
D) when N is small
Correct Answer
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Multiple Choice
A) large and significant gender differences in education but no difference in income.
B) no significant gender difference on either variable.
C) large and significant gender differences in income but no difference in education.
D) large and significant gender differences in both education and income.
Correct Answer
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