Deck 8: Confidence Interval Estimation
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Deck 8: Confidence Interval Estimation
1
A 90% confidence interval estimate for a population mean
is determined to be 72.8 to 79.6.If the confidence level is reduced to 80%,the confidence interval for
becomes narrower.


True
2
As a general rule,the normal distribution is used to approximate the sampling distribution of the sample proportion
only if the sample size n is greater than 30.

False
3
In general,increasing the confidence level will narrow the confidence interval,and decreasing the confidence level widens the interval.
False
4
The t-distribution and the standard normal distribution are practically indistinguishable as the degrees of freedom increase.
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5
The interval estimate 18.5
2.5 is developed for a population mean in which the sample standard deviation s is 7.5.Had s equaled 15 instead,the interval estimate would be 37
5.0.


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6
The 95% confidence interval for the population mean
,given that the sample size n = 49 and the population standard deviation
= 7,is
.



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7
If a random sample of size 250 is taken from a population,where it is known that the population proportion p = 0.4,then the mean of the sampling distribution of the sample proportion
is 0.60.

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8
When samples of size n are drawn from a population,then the sampling distribution of the sample mean
is approximately normal,provided that n is reasonably large.

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9
If a sample has 20 observations and a 95% confidence estimate for
is needed,the appropriate value of t-multiple is 2.093

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10
The lower limit of the 95% confidence interval for the population proportion p,given that n = 300; and
= 0.10 is 0.1339.

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11
We can form a confidence interval for the population total T by finding a confidence interval for the population mean
in the usual way,and then multiplying the lower and upper limits the confidence interval by the population size N.

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12
The degrees of freedom for the t and chi-square distributions is a numerical parameter of the distribution that defines the precise shape of the distribution.
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13
The standard error of the sampling distribution of the sample proportion
,when the sample size n = 50 and the population proportion p = 0.25,is 0.00375.

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14
A confidence interval is an interval that,with a stated level of confidence,captures a population parameter.
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15
The mean of the sampling distribution of the sample proportion
,when the sample size n = 100 and the population proportion p = 0.15,is 15.0.

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16
The upper limit of the 90% confidence interval for the population proportion p,given that n = 100; and
= 0.20 is 0.2658.

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17
If the standard error of the sampling distribution of the sample proportion
is 0.0324 for samples of size 200,then the population proportion must be 0.30.

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18
The approximate standard error of the point estimate of the population total is
.

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19
In developing a confidence interval for the population standard deviation
,we make use of the fact that the sampling distribution of the sample standard deviation s is not the normal distribution or the t-distribution,but rather a right-skewed distribution called the chi-square distribution,which (for this procedure)has n - 1 degrees of freedom.

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20
In order to construct a confidence interval estimate of the population mean
,the value of
must be given.


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21
Samples of exam scores for employees before and after a training class are examples of paired data.
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22
In determining the sample size n for estimating the population proportion p,a conservative value of n can be obtained by using 0.50 as an estimate of p.
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23
The t-distribution for developing a confidence interval for a mean has degrees of freedom equal to
A)n + 2.
B)n +1.
C)n.
D)n - 1.
A)n + 2.
B)n +1.
C)n.
D)n - 1.
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24
When calculating a confidence interval for the difference between two population proportions,we multiply the standard error of the difference between sample proportions by t-multiple.
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25
If two samples contain the same number of observations,then the data must be paired.
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26
In general,the paired-sample procedure is appropriate when the samples are naturally paired in some way and there is a reasonably large positive correlation between the pairs.In this case,the paired-sample procedure makes more efficient use of the data and generally results in narrower confidence intervals.
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27
In developing a confidence interval for the difference between two population means using two independent samples,we use the pooled estimate
in estimating the standard error of the sampling distribution of the sample mean difference
if the populations are normal with equal variances.


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28
The necessary sample size can only be determined for estimation problems regarding proportions because we do not know the value of the population standard deviation needed to calculate the necessary sample size for problems dealing with a population mean(s).
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29
The chi-square and F-distributions are used primarily to make inferences about population ____.
A)means
B)variances
C)medians
D)proportions
A)means
B)variances
C)medians
D)proportions
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30
As the sample size increases,the t-distribution becomes more similar to the _____ distribution.
A)normal
B)exponential
C)binomial
D)chi-square
A)normal
B)exponential
C)binomial
D)chi-square
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31
Suppose that we want to estimate the difference in the proportion of all men and women that favor a homeless shelter opening up in their community.We should use a confidence interval for a difference between two population means to create our estimate.
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32
The confidence interval for the population standard deviation σ is centered at the point estimate,the sample standard deviation s.
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33
A parameter such as
is sometimes referred to as a(n)_____ parameter,because many times,we need its value even though it is not the parameter of primary interest.
A)dependent
B)random
C)nuisance
D)independent

A)dependent
B)random
C)nuisance
D)independent
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34
When we replace
with the sample standard deviation (s),we introduce a new source of variability and the sampling distribution becomes the
A)t -distribution.
B)F- distribution.
C)chi-square distribution.
D)normal distribution.

A)t -distribution.
B)F- distribution.
C)chi-square distribution.
D)normal distribution.
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35
The value of the standard error of the difference between sample proportions depends on the sample proportion from each of the two populations as well as the sample size selected from each population.
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36
The general form of a confidence interval is
A)Point Estimate ± Multiple × Standard Error.
B)Point Estimate ± Multiple + Standard Error.
C)Point Estimate ± Multiple - Standard Error.
D)Point Estimate ± Multiple ± Standard Error.
A)Point Estimate ± Multiple × Standard Error.
B)Point Estimate ± Multiple + Standard Error.
C)Point Estimate ± Multiple - Standard Error.
D)Point Estimate ± Multiple ± Standard Error.
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37
If two random samples of sizes 30 and 35 are selected independently from two populations whose means are 85 and 90,then the mean of the sampling distribution of the sample mean difference,
,equals 5.

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38
If two random samples of size 40 each are selected independently from two populations whose variances are 35 and 45,then the standard error of the sampling distribution of the sample mean difference,
,equals 1.4142.

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39
If we cannot make the strong assumption that the variances of two samples are equal,then we must use the pooled standard deviation in calculating the standard error of a difference between the means.
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40
Two independent samples of sizes 50 and 50 are randomly selected from two populations to test the difference between the population means,
.The sampling distribution of the sample mean difference
is
A)normally distributed.
B)approximately normal.
C)t - distributed with 98 degrees of freedom.
D)chi-squared distributed with 99 degrees of freedom.


A)normally distributed.
B)approximately normal.
C)t - distributed with 98 degrees of freedom.
D)chi-squared distributed with 99 degrees of freedom.
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41
The shape of a chi-square distribution
A)is symmetric.
B)is skewed to the left.
C)is skewed to the right.
D)depends on the sample data.
A)is symmetric.
B)is skewed to the left.
C)is skewed to the right.
D)depends on the sample data.
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42
For a given confidence level,the procedure for controlling interval length usually begins with the specification of the
A)point estimate.
B)population standard deviation,s.
C)sample standard deviation,s.
D)interval half-length,B.
A)point estimate.
B)population standard deviation,s.
C)sample standard deviation,s.
D)interval half-length,B.
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43
When you calculate the sample size for a proportion,you use an estimate for the population proportion; namely
.A conservative value for n can be obtained by using 
A)0.01.
B)0.05.
C)0.10.
D)0.50.


A)0.01.
B)0.05.
C)0.10.
D)0.50.
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44
You would like to estimate the average amount a family spends on food during a year.In the past,the standard deviation of the amount a family has spent on food during a year has been approximately $800.If you want to be 95% sure that you estimated average family food expenditures within $50,how many families do you need to survey?
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45
You are attempting to estimate the average amount a family spends on food during a year.In the past,the standard deviation of the amount a family has spent on food during a year has been approximately $1200.If you want to be 99% sure that you have estimated average family food expenditures within $60,how many families do you need to survey?
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46
If you increase the confidence level,the length of the confidence interval
A)decreases.
B)increases.
C)stays the same.
D)may increase or decrease,depending on the sample data.
A)decreases.
B)increases.
C)stays the same.
D)may increase or decrease,depending on the sample data.
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47
You are told that a random sample of 150 people from Iowa has been given cholesterol tests,and 60 of these people had levels over the "safe" count of 200.Construct a 95% confidence interval for the population proportion of people in Iowa with cholesterol levels over 200.
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48
When the samples we want to compare pair in some natural way,such as a pretest/posttest for each person or husband/wife pairs,a more appropriate form of analysis is to not construct a confidence interval treating them as two separate variables,but instead to construct a confidence interval to estimate the mean
A)difference.
B)sum.
C)ratio.
D)total.
A)difference.
B)sum.
C)ratio.
D)total.
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49
If you are constructing a confidence interval for a single mean,the length of the confidence interval will _____ with an increase in the sample size.
A)decrease
B)increase
C)stay the same
D)increase or decrease,depending on the sample data,
A)decrease
B)increase
C)stay the same
D)increase or decrease,depending on the sample data,
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50
Two independent samples of sizes 20 and 25 are randomly selected from two normal populations with equal variances.In order to test the difference between the population means,the test statistic is
A)a standard normal random variable.
B)an approximately standard normal random variable.
C)t-distributed with 45 degrees of freedom.
D)t-distributed with 43 degrees of freedom.
A)a standard normal random variable.
B)an approximately standard normal random variable.
C)t-distributed with 45 degrees of freedom.
D)t-distributed with 43 degrees of freedom.
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51
What is an example of a problem in which the sample data is likely to be paired?
A)The difference between the means of appraised and sales house prices
B)The difference between the proportion of defective items from two suppliers
C)The difference in the mean life of two major brands of batteries
D)The difference in the mean salaries for graduates in two different academic fields at a university
A)The difference between the means of appraised and sales house prices
B)The difference between the proportion of defective items from two suppliers
C)The difference in the mean life of two major brands of batteries
D)The difference in the mean salaries for graduates in two different academic fields at a university
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52
Confidence intervals are a function of the
A)population,the sample,and the standard deviation.
B)sample,the variable of interest,and the degrees of freedom.
C)data in the sample,the confidence level,and the sample size.
D)sampling distribution,the confidence level,and the degrees of freedom.
A)population,the sample,and the standard deviation.
B)sample,the variable of interest,and the degrees of freedom.
C)data in the sample,the confidence level,and the sample size.
D)sampling distribution,the confidence level,and the degrees of freedom.
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53
The approximate standard error of the point estimate of the population total is
A)
.
B)
.
C)
.
D)
.
A)

B)

C)

D)

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54
In past years,approximately 25% of all U.S.families purchased potato chips at least once a month.We are interested in determining the fraction of all U.S.families that currently purchase potato chips at least once a month.How many families must we survey if we want to be 99% sure that our estimate of the fraction of U.S.families currently purchasing potato chips at least once a month is accurate within 2%?
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55
After calculating the sample size needed to estimate a population proportion to within 0.05,you have been told that the maximum allowable error (B)must be reduced to just 0.025.If the original calculation led to a sample size of 1000,the sample size will now have to be
A)2000.
B)4000.
C)1000.
D)8000.
A)2000.
B)4000.
C)1000.
D)8000.
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56
Suppose there are 500 accounts in a population.You sample 50 of them and find a sample mean of $500.What would be your estimate for the population total?
A)$5,000
B)$50,000
C)$250,000
D)$500,000
A)$5,000
B)$50,000
C)$250,000
D)$500,000
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57
The chi-square distribution for developing a confidence interval for a standard deviation has degrees of freedom equal to
A)n + 2.
B)n +1.
C)n.
D)n - 1.
A)n + 2.
B)n +1.
C)n.
D)n - 1.
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58
Generally speaking,the two types of statistical inference are
A)sample estimation and population estimation.
B)confidence interval estimation and hypothesis testing.
C)the interval estimation for a mean and the point estimation for a proportion.
D)independent sample estimation and dependent sample estimation.
A)sample estimation and population estimation.
B)confidence interval estimation and hypothesis testing.
C)the interval estimation for a mean and the point estimation for a proportion.
D)independent sample estimation and dependent sample estimation.
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59
From a sample of 500 items,30 were found to be defective.The point estimate of the population proportion defective will be
A)0.06.
B)30.0.
C)470.
D)0.94.
A)0.06.
B)30.0.
C)470.
D)0.94.
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60
The number of degrees of freedom needed to construct 90% confidence interval for the difference between means when the data are gathered from paired samples,with 15 observations in each sample,is
A)30.
B)15.
C)28.
D)14.
A)30.
B)15.
C)28.
D)14.
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