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| 1.
|  |  When the sample size and sample standard deviation remain the same, a 99% confidence interval for a population mean, μ will be ________________ the 95% confidence interval for μ. |
|  | A) | wider than |
|  | B) | narrower than |
|  | C) | equal to |
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| 2.
|  |  When the level of confidence and sample standard deviation remain the same, a confidence interval for a population mean based on a sample of n = 100 will be _______________ a confidence interval for a population mean based on a sample of n = 50. |
|  | A) | wider than |
|  | B) | narrower than |
|  | C) | equal to |
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| 3.
|  |  A 82% confidence interval for a sampling distribution with a mean of 100, a sample standard deviation of 24 and a sample size of 36 will be based on a α= ______ and a corresponding Zα/2 of ________ . |
|  | A) | .18 and .47 |
|  | B) | .18 and .915 |
|  | C) | .09 and .23 |
|  | D) | .09 and 1.34 |
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| 4.
|  |  When the sample size and the sample proportion  (0.0K) remain the same, a 90% confidence interval for a population proportion p will be _____________ the 99% confidence interval for p. |
|  | A) | wider than |
|  | B) | narrower than |
|  | C) | equal to |
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| 5.
|  |  When the level of confidence and sample proportion  (0.0K) remain the same, a confidence interval for a population proportion p based on a sample of n = 100 will be _____________ a confidence interval for p based on a sample of n = 400. |
|  | A) | wider than |
|  | B) | narrower than |
|  | C) | equal to |
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| 6.
|  |  As our sample standard deviation increases when all other parts of the confidence interval stay the same, then the confidence interval will become: |
|  | A) | wider |
|  | B) | narrower |
|  | C) | remain the same. |
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| 7.
|  |  When the population is normally distributed, population standard deviation σ is unknown and the sample size is n = 15, the confidence interval for the population mean μ is based on |
|  | A) | the z (normal) distribution. |
|  | B) | the t distribution. |
|  | C) | the Binomial distribution. |
|  | D) | the Poisson Distribution. |
|  | E) | None of the above. |
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| 8.
|  |  When solving for the sample size needed to compute a confidence interval for a population proportion, the _________p(1-p) is, the _____ n will be. |
|  | A) | larger, smaller. |
|  | B) | smaller, larger. |
|  | C) | larger, larger. |
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| 9.
|  |  When a confidence interval for a population proportion is constructed for a sample size n = 100 and the value of,  (0.0K) = .4 the interval is based on |
|  | A) | the z distribution. |
|  | B) | the t distribution. |
|  | C) | the Exponential distribution. |
|  | D) | the Poisson distribution. |
|  | E) | None of the above. |
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| 10.
|  |  There is little difference between the values of tα/2 and Zα/2 when the sample |
|  | A) | size is small. |
|  | B) | size is large. |
|  | C) | mean is small. |
|  | D) | mean is large. |
|  | E) | standard deviation is small. |
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| 11.
|  |  When determining the sample size n, if the value found is not an integer initially, we ____________ round this value up to the next integer value. |
|  | A) | always |
|  | B) | sometimes |
|  | C) | never |
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| 12.
|  |  When the population is normally distributed and population standard deviation s is unknown, then for any sample size n, the sampling distribution of  (2.0K) is a t distribution. |
|  | A) | True |
|  | B) | False |
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| 13.
|  |  Assuming the same value of α, as the sample size increases, the value of tα/2 approaches the value of Zα/2. |
|  | A) | True |
|  | B) | False |
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