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| 1 | |
When the sample size and sample standard deviation remain the same, a 99 percent confidence interval for a population mean, µ, will be ______ the 95 percent 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 | |
An 82 percent confidence interval for a sampling distribution with a mean of 100, a population standard deviation of 24, and a sample size of 36 will be based on an α = ______ and a corresponding Zα/2 of ________. |
| | A) | .18 and .47 |
| | B) | .09 and .915 |
| | C) | .09 and .23 |
| | D) | .18 and 1.34 |
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| 4 | |
When finding a confidence interval for a population mean, the probability that the confidence interval will contain the population mean is called the ______________. |
| | A) | margin of error |
| | B) | confidence coefficient |
| | C) | t distribution |
| | D) | degrees of freedom |
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| 5 | |
When the level of confidence and sample proportion  <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=jpg::::/sites/dl/free/0078020530/1036570/p_cap.jpg','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (13.0K)</a>]]> 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 |
| | A) | become wider. |
| | B) | become narrower. |
| | C) | remain the same. |
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| 7 | |
When the population is normally distributed and the population standard deviation σ is unknown, then for any sample size n, the sampling distribution of  <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=jpg::::/sites/dl/free/0078020530/1036570/formu3.jpg','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (17.0K)</a>]]> is a t distribution. |
| | A) | True |
| | B) | False |
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| 8 | |
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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| 9 | |
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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| 10 | |
When a confidence interval for a population proportion is constructed for a sample size n = 100 and the value of <![CDATA[<a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=jpg::::/sites/dl/free/0078020530/1036570/p_cap.jpg','popWin', 'width=NaN,height=NaN,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (13.0K)</a>]]> = .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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| 11 | |
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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| 12 | |
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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| 13 | |
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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| 14 | |
______ is the quantity that is added to or subtracted from a point estimate of a population parameter to obtain a confidence interval. |
| | A) | The standard error |
| | B) | The sample standard deviation |
| | C) | t |
| | D) | The margin of error |
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| 15 | |
Confidence intervals are different from tolerance intervals. |
| | A) | True |
| | B) | False |
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