1. As the number of degrees of freedom for at distribution increases, the difference between the t distribution and the standard normal distribution b. C. d. becomes larger. becomes smaller. stays the same. fluctuates.

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1. As the number of degrees of freedom for at distribution increases, the difference between the t
distribution and the standard normal distribution
2. In confidence interval estimation, as the sample size becomes larger, the interval estimate
becomes narrower.
becomes wider.
remains the same, since the mean is not changing.
gets closer to 1.96.
C.
a.
b.
d.
C.
d.
b.
c.
a.
b.
c.
d.
d.
4. Using an a= 0.05, a confidence interval for a population proportion is determined to be 0.65
to 0.75. If the level of significance is changed to a -0.01, the confidence interval for the
population proportion
becomes larger.
becomes smaller.
stays the same.
fluctuates.
5. A Type I error is committed when
does not change.
remains the same.
becomes narrower.
becomes wider.
a.
b. a true null hypothesis is rejected.
a true alternative hypothesis is not accepted.
the critical value is greater than the value of the test statistic.
the validity of a claim was rejected.
Transcribed Image Text:1. As the number of degrees of freedom for at distribution increases, the difference between the t distribution and the standard normal distribution 2. In confidence interval estimation, as the sample size becomes larger, the interval estimate becomes narrower. becomes wider. remains the same, since the mean is not changing. gets closer to 1.96. C. a. b. d. C. d. b. c. a. b. c. d. d. 4. Using an a= 0.05, a confidence interval for a population proportion is determined to be 0.65 to 0.75. If the level of significance is changed to a -0.01, the confidence interval for the population proportion becomes larger. becomes smaller. stays the same. fluctuates. 5. A Type I error is committed when does not change. remains the same. becomes narrower. becomes wider. a. b. a true null hypothesis is rejected. a true alternative hypothesis is not accepted. the critical value is greater than the value of the test statistic. the validity of a claim was rejected.
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