Deck 11: Inferences About Population Variances

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Question
A sample of 61 elements is selected to estimate a 95% confidence interval for the variance of the population.The chi-square values to be used for this interval estimation are

A) 40.482 and 83.298.
B) 32.357 and 71.420.
C) 34.764 and 67.505.
D) 43.188 and 79.082.
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Question
A sample of 31 observations yielded a sample variance of 16.If we want to test H0: σ2 = 16, the test statistic is

A) 20.
B) 21.
C) 30.
D) 7.5.
Question
The symbol used for the variance of the sample is

A) σ.
B) σ2.
C) s.
D) s2.
Question
To avoid the problem of not having access to Tables of F distribution when F values are needed for the lower tail, the numerator of the test statistic for a two-tailed test should be the one with

A) the larger sample size.
B) the smaller sample size.
C) the larger sample variance.
D) the smaller sample variance.
Question
We are interested in testing whether the variance of a population is significantly less than 1.44.The null hypothesis for this test is

A) H0: σ2 < 1.44.
B) H0: s2 ≥ 1.44.
C) H0: σ < 1.20.
D) H0: σ2 ≥ 1.44.
Question
The bottler of a certain soft drink claims their equipment to be accurate and that the variance of all filled bottles is at most .05.The null hypothesis in a test to confirm the claim would be written as

A) H0: σ2 ≥ .05.
B) H0: s2 ≥ .05.
C) H0: s2 ≤ .05.
D) H0: σ2 ≤ .05.
Question
The producer of a certain medicine claims that their bottling equipment is very accurate and that the standard deviation of all their filled bottles is .2 ounces or less.A sample of 20 bottles showed a standard deviation of .12 ounces.The test statistic to test the claim is

A) 2.3.
B) 22.99.
C) 6.84.
D) 1.368.
Question
A sample of n observations is taken from a normal population.The appropriate chi-square distribution has

A) n degrees of freedom.
B) n - 1 degrees of freedom.
C) n - 2 degrees of freedom.
D) n - 3 degrees of freedom.
Question
For an F distribution, the number of degrees of freedom for the numerator

A) must be larger than the number of degrees of freedom for the denominator.
B) must be smaller than the number of degrees of freedom for the denominator.
C) must be equal to the number of degrees of freedom for the denominator.
D) can be larger, smaller, or equal to the number of degrees of freedom for the denominator.
Question
Which of the following has a chi-square distribution?

A) (n - 1)s22.
B) (n - 1)σ/s.
C) (n - 1)s/σ.
Question
The manager of the service department of a local car dealership has noted that the service times of a sample of 16 new automobiles has a standard deviation of 5 minutes.A 95% confidence interval estimate for the variance of service times for all their new automobiles is

A) 13.642 to 59.885.
B) 9.46 to 34.09.
C) 2.144 to 9.948.
D) 2.728 to 11.977.
Question
The producer of a certain bottling equipment claims that the variance of all their filled bottles is .027 or less.A sample of 30 bottles showed a standard deviation of .2 ounces.The p-value for the test is

A) between .025 to .05.
B) between .05 to .10.
C) .05.
D) .025.
Question
The sampling distribution used when making inferences about a single population's variance is

A) an F distribution.
B) a t distribution.
C) a chi-square distribution.
D) a normal distribution.
Question
A sample of 20 cans of tomato juice showed a standard deviation of .4 ounces.A 95% confidence interval estimate of the variance for the population is

A) .2313 to .8533.
B) .2224 to .7924.
C) .3042 to .5843.
D) .0925 to .3413.
Question
The value of F.05 with 8 numerator and 19 denominator degrees of freedom is

A) 2.48.
B) 2.58.
C) 3.63.
D) 2.96.
Question
The random variable for a chi-square distribution may assume

A) any value between -1 to 1.
B) any value between -∞ to +∞.
C) any negative value.
D) any value greater than zero.
Question
A sample of 51 observations yielded a sample standard deviation of 5.If we want to test H0: σ2 = 20, the test statistic is

A) 62.5.
B) 12.5.
C) 51.25.
D) 50.
Question
The manager of the service department of a local car dealership has noted that the service times of a sample of 30 new automobiles has a standard deviation of 5 minutes.A 95% confidence interval estimate for the standard deviation of the service times (in minutes) for all their new automobiles is

A) 16.047 to 45.722.
B) 15.857 to 45.180.
C) 3.982 to 6.722.
D) 22.833 to 65.059.
Question
The symbol used for the variance of the population is

A) σ.
B) σ2.
C) s.
D) s2.
Question
Which of the following has an F distribution?

A) (n - 1)s/σ.
B) s1/s2.
C) (n - 1)s1/s2.
D) <strong>Which of the following has an F distribution?</strong> A) (n - 1)s/σ. B) s<sub>1</sub>/s<sub>2</sub>. C) (n - 1)s<sub>1</sub>/s<sub>2</sub>. D)   . <div style=padding-top: 35px> .
Question
The value of F.01 with 9 numerator and 20 denominator degrees of freedom is

A) 2.39.
B) 2.94.
C) 2.91.
D) 3.46.
Question
A sample of 60 items from population 1 has a sample variance of 12 while a sample of 50 items from population 2 has a sample variance of 15.If we want to test whether the variances of the two populations are equal, the test statistic will have a value of

A) .8.
B) 1.56.
C) 1.5.
D) 1.25.
Question
The chi-square value for a one-tailed (upper tail) hypothesis test at a 5% level of significance and a sample size of 25 is

A) 33.196.
B) 36.415.
C) 39.364.
D) 37.652.
Question
The chi-square value for a one-tailed (lower tail) test when the level of significance is .1 and the sample size is 15 is

A) 21.064.
B) 23.685.
C) 7.790.
D) 6.571.
Question
The contents of a sample of 26 cans of apple juice showed a standard deviation of .06 ounces.We are interested in testing whether the variance of the population is significantly more than .003.At the .05 level of significance, the null hypothesis

A) should be rejected.
B) should not be rejected.
C) should be revised.
D) should not be tested.
Question
The contents of a sample of 26 cans of apple juice showed a standard deviation of .06 ounces.We are interested in testing whether the variance of the population is significantly more than .003.The null hypothesis is

A) s2 > .003.
B) s2 ≤ .003.
C) σ2 > .003.
D) σ2 ≤ .003.
Question
The contents of a sample of 26 cans of apple juice showed a standard deviation of .06 ounces.We are interested in testing whether the variance of the population is significantly more than .003.The test statistic is

A) 1.2.
B) 31.2.
C) 30.
D) 500.
Question
The sampling distribution of the quantity (n - 1)s22 is the

A) chi-square distribution.
B) normal distribution.
C) F distribution.
D) t distribution.
Question
The 99% confidence interval estimate for a population variance when a sample standard deviation of 12 is obtained from a sample of 10 items is

A) 4.589 to 62.253.
B) 46.538 to 422.171.
C) 54.941 to 746.974.
D) 62.042 to 562.895.
Question
We are interested in testing whether the variance of a population is significantly more than 625.The null hypothesis for this test is

A) H0: σ2 > 625.
B) H0: σ2 ≤ 625.
C) H0: σ2 ≥ 625.
D) H0: σ2 ≤ 25.
Question
The sampling distribution of the ratio of independent sample variances extracted from two normal populations with equal variances is the

A) chi-square distribution.
B) normal distribution.
C) F distribution.
D) t distribution.
Question
We are interested in testing to see if the variance of a population is less than 7.The correct null hypothesis is

A) σ < 7.
B) σ2 ≥ 7.
C) σ < 49.
D) σ2 ≥ 49.
Question
A random sample of 31 sales charge showed a sample standard deviation of $50.A 90% confidence interval estimate of the population standard deviation is

A) 1715.101 to 4055.589.
B) 1596.458 to 4466.679.
C) 39.956 to 66.833.
D) 41.393 to 63.684.
Question
For a sample size of 21 at 95% confidence, the chi-square values needed for interval estimation are

A) 9.591 and 34.170.
B) 2.700 and 19.023.
C) 8.260 and 37.566.
D) 10.283 and 35.479.
Question
A sample of 61 observations yielded a sample standard deviation of 6.If we want to test H0: σ2 = 40, the test statistic is

A) 54.
B) 9.15.
C) 54.90.
D) 9.
Question
The 95% confidence interval estimate of a population variance when a sample variance of 324 is obtained from a sample of 81 items is

A) 14.14 to 174.94.
B) 243.086 to 453.520.
C) 16.42 to 194.35.
D) 254.419 to 429.203.
Question
A sample of 21 elements is selected to estimate a 90% confidence interval for the variance of the population.The chi-square value(s) to be used for this interval estimation is(are)

A) 31.410.
B) 12.443.
C) 10.851 and 31.410.
D) 12.443 and 28.412.
Question
The 90% confidence interval estimate of a population standard deviation when a sample variance of 50 is obtained from a sample of 15 items is

A) 26.8 to 124.356.
B) 5.177 to 11.152.
C) 5.436 to 10.321.
D) 29.555 to 106.529.
Question
The contents of a sample of 26 cans of apple juice showed a standard deviation of .06 ounces.We are interested in testing whether the variance of the population is significantly more than .003.The p-value for this test is

A) .05.
B) greater than .10.
C) less than .10.
D) zero.
Question
The critical value of F using α = .05 when there is a sample size of 21 for the sample with the smaller variance, and there is a sample size of 9 for the sample with the larger sample variance is

A) 2.45.
B) 2.94.
C) 2.37.
D) 2.10.
Question
There is a .90 probability of obtaining a <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <div style=padding-top: 35px> value such that ​

A) ​ <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <div style=padding-top: 35px> < <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <div style=padding-top: 35px> < <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <div style=padding-top: 35px> ​.
B) <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <div style=padding-top: 35px> <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <div style=padding-top: 35px> <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <div style=padding-top: 35px> ​.
C) ​ <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <div style=padding-top: 35px> <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <div style=padding-top: 35px> <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <div style=padding-top: 35px> ​.
D) ​ <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <div style=padding-top: 35px> < <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <div style=padding-top: 35px> < <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <div style=padding-top: 35px> ​.
Question
​Consider the following hypothesis problem. n = 30
H0: σ2 = 500
S2 = 625
Ha: σ2 ≠ 500

​The test statistic equals

A) ​23.20.
B) ​24.00.
C) ​36.25.
D) ​37.50.
Question
​Consider the following hypothesis problem. n = 14
H0: σ2 < 410
S = 20
Ha: σ2 > 410

​The test statistic equals

A) .63.
B) ​12.68.
C) ​13.33.
D) ​13.68.
Question
Consider the following hypothesis problem. ​
N = 23
S2 = 60
H0: σ2 ≤ 66
Ha: σ2 > 66

If the test is to be performed at the .05 level of significance, the null hypothesis

A) should be rejected.
B) should not be rejected.
C) should be revised.
D) should not be tested.
Question
​Consider the following sample information from Population A and Population B. ​

Sample A
Sample B
N
24
16
S2
32
38
​​
We want to test the hypothesis that the population variances are equal.The test statistic for this problem equals

A) ​.67.
B) .84.
C) ​1.19.
D) ​1.50.
Question
To avoid the problem of not having access to tables of the F distribution when a one-tailed test is required and with F values given for the lower tail, let​ the

A) smaller sample variance be the numerator of the test statistic.
B) larger sample variance be the numerator of the test statistic.
C) sample variance from the population with the smaller hypothesized variance be the numerator of the test statistic.
D) sample variance from the population with the larger hypothesized variance be the numerator of the test statistic.
Question
A sample of 28 elements is selected to estimate a 95% confidence interval for the variance of the population.The chi-square values to be used for this interval estimation are​

A) 11.808 and 49.645.
B) ​14.573 and 43.195.
C) ​16.151 and 40.113.
D) ​15.308 and 44.461.
Question
​In practice, the most frequently encountered hypothesis test about a population variance is a

A) ​one-tailed test, with rejection region in the lower tail.
B) ​one-tailed test, with rejection region in the upper tail.
C) ​two-tailed test, with equal-size rejection regions.
D) ​two-tailed test, with unequal-size rejection regions.
Question
Consider the following hypothesis problem. ​
N = 23
S2 = 60
H0: σ2 ≤ 66
Ha: σ2 > 66

If the test is to be performed at the 5% level, the critical value(s) from the chi-square distribution table is(are)

A) 10.982 and 36.781.
B) 12.338 and 33.924.
C) 12.338.
D) 33.924.
Question
​Consider the following hypothesis problem. n = 14
H0: σ2 < 410
S = 20
Ha: σ2 > 410

At the 5% level of significance, the null hypothesis

A) should be rejected​.
B) ​should not be rejected​.
C) ​should be revised.
D) should not be tested.
Question
Consider the following hypothesis problem. ​
N = 23
S2 = 60
H0: σ2 ≤ 66
Ha: σ2 > 66

The p-value is

A) less than .025.
B) between .025 and .05.
C) between .05 and .10.
D) greater than .10.
Question
?Which of the following rejection rules is proper?

A) ?Reject H0 if p-value ? F?.
B) ?Reject H0 if F ? F?/2.
C) ?Reject H0 if p-value ? ?/2.
D) ?Reject H0 if F ? F?.
Question
​Consider the following hypothesis problem. n = 30
H0: σ2 = 500
S2 = 625
Ha: σ2 ≠ 500

At the 5% level of significance, the null hypothesis

A) ​should be rejected.
B) ​should not be rejected.
C) ​should be revised.
D) should not be tested.
Question
Consider the following hypothesis problem. n = 23
S2 = 60
H0: σ2 ≤ 66
Ha: σ2 > 66

The test statistic has a value of

A) 20.91.
B) 24.20.
C) 24.00.
D) 20.00.
Question
​Consider the following sample information from Population A and Population B. ​

Sample A
Sample B
N
24
16
S2
32
38
​​
We want to test the hypothesis that the population variances are equal.The null hypothesis is to be tested at the 10% level of significance.The critical value from the F distribution table is

A) 2.11.
B) ​2.13.
C) ​2.24.
D) ​2.29.
Question
Based on the sample evidence below, we want to test the hypothesis that population A has a larger variance than population B. Sample A
Sample B
N
11
10
S2
12)1
5

The test statistic for this problem equals

A) .4132.
B) 1.1.
C) 2.42.
D) 2.
Question
​Consider the following sample information from Population A and Population B. ​

Sample A
Sample B
N
24
16
S2
32
38
​​
We want to test the hypothesis that the population variances are equal.At the 10% level of significance, the null hypothesis

A) should be rejected.
B) ​should not be rejected.
C) ​should be revised.
D) should not be tested.
Question
​Consider the following hypothesis problem. n = 30
H0: σ2 = 500
S2 = 625
Ha: σ2 ≠ 500

​The null hypothesis is to be tested at the 5% level of significance.The critical value(s) from the chi-square distribution table is(are)

A) ​42.557.
B) ​43.773.
C) ​16.047 and 45.722.
D) ​16.791 and 46.979.
Question
​Consider the following hypothesis problem. n = 14
H0: σ2 < 410
S = 20
Ha: σ2 > 410

​The null hypothesis is to be tested at the 5% level of significance.The critical value(s) from the chi-square distribution table is(are)

A) 22.362.
B) ​23.685.
C) ​5.009 and 24.736.
D) ​5.629 and 26.119.
Question
Based on the sample evidence below, we want to test the hypothesis that population A has a larger variance than population B. ​
Sample A
Sample B
N
11
10
S2
12)1
5

The p-value is approximately

A) .10.
B) .05.
C) .025.
D) .01.
Question
An egg packing company has stated that the standard deviation of the weights of their grade A large eggs is .07 ounces or less.The sample variance for 51 eggs was .0065 ounces.Can this sample result confirm the company's claim? Use α = .1.
Question
A sample of 30 items provided a sample mean of 28 and a sample standard deviation of 6.Test the following hypotheses using α = .05.What is your conclusion?
H0: σ2 ≤ 25
Ha: σ2 > 25
Question
Do the following sample data indicate that the variance of the population from which it has been drawn is significantly more than 17? Use α = .05.
X
12
5
9
14
10
Question
A random sample of 20 observations showed a standard deviation of 8.At a .05 level of significance, test to see if the variance of the population is significantly less than 65.Use the critical value approach.
Question
At α = .1, test to see if the population variances from which the following samples were drawn are equal.
Sample 1
Sample 2
n1 = 21
n2 = 19
s1 = 18
s2 = 16
Question
The standard deviation of the ages of a sample of 16 executives from the northern states was 8.2 years; while the standard deviation of the ages of a sample of 25 executives from the southern states was 12.8 years.At α = .1, test to see if there is any difference between the variances of the ages of all the northern and all the southern executives.
Question
The average score of a sample of 30 students on their second statistics examination was 85 with a standard deviation of 11.Is the variance of the population significantly more than 80? Use a .05 level of significance.
Question
A company claims that the standard deviation in their delivery times is less than 5 days.A sample of 27 past customers was taken.The average delivery time in the sample was 14 days with a standard deviation of 4.5 days.At the 5% level of significance, test the company's claim.Use the critical value approach.
Question
A lumber company has claimed that the standard deviation for the lengths of their six-foot boards is .4 inches or less.To test their claim, a random sample of 16 six-foot boards is selected; and it is determined that the variance of the sample is .3.Do the results of the sample support the company's claim? Use α = .1.
Question
A random sample of 22 employees of a local utility firm showed that their monthly incomes had a sample standard deviation of $110.Provide a 90% confidence interval estimate for the standard deviation of the incomes of all employees of the firm.
Question
We are interested in determining whether or not the variances of the starting salaries of accounting majors is significantly different from management majors.The following information was gathered from two samples.
Accounting
Management
Sample Size
21
18
Average Monthly Income
$3600
$3500
Variance
$900
$400

At the .1 level of significance, test to determine whether or not the variances are equal.
Question
A random sample of 41 scores of students taking the ACT test showed a standard deviation of 8 points.Provide a 98% confidence interval estimate for the standard deviation of all the ACT test scores.
Question
Student advisors are interested in determining if the variances of the scores of day students and night students are the same.The following samples are drawn:
Day
Night
n1 = 25
n2 = 31
s1 = 9.8
s2 = 14.7

Test the equality of the variances of the populations.Let α = .05.
Question
A sample of 16 students showed that the variance in the number of hours they spend studying is 25.At the 5% level of significance, test to see if the variance of the population is significantly different from 30.Use the critical value approach.
Question
A sample of 22 bottles of soft drink showed a variance of .64 in their contents.At the 5% level, determine whether or not the standard deviation of the population is significantly different from .7 ounces.Use the critical value approach.
Question
A large company has claimed that the standard deviation of the monthly incomes of their employees is less than or equal to $120.To test their claim, a random sample of 76 employees of the company was taken; and it was determined that the standard deviation of their incomes was $135.Using α = .10, test the company's claim.
Question
We are interested in determining whether or not the variances of the sales are equal for two small grocery stores.A sample of 16 days of sales at each store indicated the following.
Store A
Store B
n1 = 16
n2 = 16
s1 = $130
s2 = $100

Are the variances of the populations (from which these samples came) equal?
Use α = .05.
Question
A random sample of 21 checking accounts at a bank showed an average daily balance of $430 with a standard deviation of $50.
a.
Provide a 95% confidence interval estimate for the variance of the population of the checking accounts.
b.
Provide a 95% confidence interval estimate for the standard deviation of the population of the checking accounts.
Question
The standard deviation of the daily temperatures in Honolulu last year was 4 degrees Fahrenheit.A random sample of 25 days resulted in a standard deviation of 5.8 degrees Fahrenheit.Has there been a significant increase in the variance of the temperatures? Use α = .05.
Question
A sample of 14 items provides a sample mean of 20 and a sample variance of 18.Compute a 95% confidence interval estimate for the standard deviation of the population.
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Deck 11: Inferences About Population Variances
1
A sample of 61 elements is selected to estimate a 95% confidence interval for the variance of the population.The chi-square values to be used for this interval estimation are

A) 40.482 and 83.298.
B) 32.357 and 71.420.
C) 34.764 and 67.505.
D) 43.188 and 79.082.
40.482 and 83.298.
2
A sample of 31 observations yielded a sample variance of 16.If we want to test H0: σ2 = 16, the test statistic is

A) 20.
B) 21.
C) 30.
D) 7.5.
30.
3
The symbol used for the variance of the sample is

A) σ.
B) σ2.
C) s.
D) s2.
s2.
4
To avoid the problem of not having access to Tables of F distribution when F values are needed for the lower tail, the numerator of the test statistic for a two-tailed test should be the one with

A) the larger sample size.
B) the smaller sample size.
C) the larger sample variance.
D) the smaller sample variance.
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5
We are interested in testing whether the variance of a population is significantly less than 1.44.The null hypothesis for this test is

A) H0: σ2 < 1.44.
B) H0: s2 ≥ 1.44.
C) H0: σ < 1.20.
D) H0: σ2 ≥ 1.44.
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6
The bottler of a certain soft drink claims their equipment to be accurate and that the variance of all filled bottles is at most .05.The null hypothesis in a test to confirm the claim would be written as

A) H0: σ2 ≥ .05.
B) H0: s2 ≥ .05.
C) H0: s2 ≤ .05.
D) H0: σ2 ≤ .05.
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7
The producer of a certain medicine claims that their bottling equipment is very accurate and that the standard deviation of all their filled bottles is .2 ounces or less.A sample of 20 bottles showed a standard deviation of .12 ounces.The test statistic to test the claim is

A) 2.3.
B) 22.99.
C) 6.84.
D) 1.368.
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8
A sample of n observations is taken from a normal population.The appropriate chi-square distribution has

A) n degrees of freedom.
B) n - 1 degrees of freedom.
C) n - 2 degrees of freedom.
D) n - 3 degrees of freedom.
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9
For an F distribution, the number of degrees of freedom for the numerator

A) must be larger than the number of degrees of freedom for the denominator.
B) must be smaller than the number of degrees of freedom for the denominator.
C) must be equal to the number of degrees of freedom for the denominator.
D) can be larger, smaller, or equal to the number of degrees of freedom for the denominator.
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10
Which of the following has a chi-square distribution?

A) (n - 1)s22.
B) (n - 1)σ/s.
C) (n - 1)s/σ.
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11
The manager of the service department of a local car dealership has noted that the service times of a sample of 16 new automobiles has a standard deviation of 5 minutes.A 95% confidence interval estimate for the variance of service times for all their new automobiles is

A) 13.642 to 59.885.
B) 9.46 to 34.09.
C) 2.144 to 9.948.
D) 2.728 to 11.977.
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12
The producer of a certain bottling equipment claims that the variance of all their filled bottles is .027 or less.A sample of 30 bottles showed a standard deviation of .2 ounces.The p-value for the test is

A) between .025 to .05.
B) between .05 to .10.
C) .05.
D) .025.
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13
The sampling distribution used when making inferences about a single population's variance is

A) an F distribution.
B) a t distribution.
C) a chi-square distribution.
D) a normal distribution.
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14
A sample of 20 cans of tomato juice showed a standard deviation of .4 ounces.A 95% confidence interval estimate of the variance for the population is

A) .2313 to .8533.
B) .2224 to .7924.
C) .3042 to .5843.
D) .0925 to .3413.
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15
The value of F.05 with 8 numerator and 19 denominator degrees of freedom is

A) 2.48.
B) 2.58.
C) 3.63.
D) 2.96.
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16
The random variable for a chi-square distribution may assume

A) any value between -1 to 1.
B) any value between -∞ to +∞.
C) any negative value.
D) any value greater than zero.
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17
A sample of 51 observations yielded a sample standard deviation of 5.If we want to test H0: σ2 = 20, the test statistic is

A) 62.5.
B) 12.5.
C) 51.25.
D) 50.
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18
The manager of the service department of a local car dealership has noted that the service times of a sample of 30 new automobiles has a standard deviation of 5 minutes.A 95% confidence interval estimate for the standard deviation of the service times (in minutes) for all their new automobiles is

A) 16.047 to 45.722.
B) 15.857 to 45.180.
C) 3.982 to 6.722.
D) 22.833 to 65.059.
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19
The symbol used for the variance of the population is

A) σ.
B) σ2.
C) s.
D) s2.
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20
Which of the following has an F distribution?

A) (n - 1)s/σ.
B) s1/s2.
C) (n - 1)s1/s2.
D) <strong>Which of the following has an F distribution?</strong> A) (n - 1)s/σ. B) s<sub>1</sub>/s<sub>2</sub>. C) (n - 1)s<sub>1</sub>/s<sub>2</sub>. D)   . .
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21
The value of F.01 with 9 numerator and 20 denominator degrees of freedom is

A) 2.39.
B) 2.94.
C) 2.91.
D) 3.46.
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22
A sample of 60 items from population 1 has a sample variance of 12 while a sample of 50 items from population 2 has a sample variance of 15.If we want to test whether the variances of the two populations are equal, the test statistic will have a value of

A) .8.
B) 1.56.
C) 1.5.
D) 1.25.
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23
The chi-square value for a one-tailed (upper tail) hypothesis test at a 5% level of significance and a sample size of 25 is

A) 33.196.
B) 36.415.
C) 39.364.
D) 37.652.
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24
The chi-square value for a one-tailed (lower tail) test when the level of significance is .1 and the sample size is 15 is

A) 21.064.
B) 23.685.
C) 7.790.
D) 6.571.
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25
The contents of a sample of 26 cans of apple juice showed a standard deviation of .06 ounces.We are interested in testing whether the variance of the population is significantly more than .003.At the .05 level of significance, the null hypothesis

A) should be rejected.
B) should not be rejected.
C) should be revised.
D) should not be tested.
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26
The contents of a sample of 26 cans of apple juice showed a standard deviation of .06 ounces.We are interested in testing whether the variance of the population is significantly more than .003.The null hypothesis is

A) s2 > .003.
B) s2 ≤ .003.
C) σ2 > .003.
D) σ2 ≤ .003.
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27
The contents of a sample of 26 cans of apple juice showed a standard deviation of .06 ounces.We are interested in testing whether the variance of the population is significantly more than .003.The test statistic is

A) 1.2.
B) 31.2.
C) 30.
D) 500.
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28
The sampling distribution of the quantity (n - 1)s22 is the

A) chi-square distribution.
B) normal distribution.
C) F distribution.
D) t distribution.
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29
The 99% confidence interval estimate for a population variance when a sample standard deviation of 12 is obtained from a sample of 10 items is

A) 4.589 to 62.253.
B) 46.538 to 422.171.
C) 54.941 to 746.974.
D) 62.042 to 562.895.
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30
We are interested in testing whether the variance of a population is significantly more than 625.The null hypothesis for this test is

A) H0: σ2 > 625.
B) H0: σ2 ≤ 625.
C) H0: σ2 ≥ 625.
D) H0: σ2 ≤ 25.
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31
The sampling distribution of the ratio of independent sample variances extracted from two normal populations with equal variances is the

A) chi-square distribution.
B) normal distribution.
C) F distribution.
D) t distribution.
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32
We are interested in testing to see if the variance of a population is less than 7.The correct null hypothesis is

A) σ < 7.
B) σ2 ≥ 7.
C) σ < 49.
D) σ2 ≥ 49.
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33
A random sample of 31 sales charge showed a sample standard deviation of $50.A 90% confidence interval estimate of the population standard deviation is

A) 1715.101 to 4055.589.
B) 1596.458 to 4466.679.
C) 39.956 to 66.833.
D) 41.393 to 63.684.
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34
For a sample size of 21 at 95% confidence, the chi-square values needed for interval estimation are

A) 9.591 and 34.170.
B) 2.700 and 19.023.
C) 8.260 and 37.566.
D) 10.283 and 35.479.
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35
A sample of 61 observations yielded a sample standard deviation of 6.If we want to test H0: σ2 = 40, the test statistic is

A) 54.
B) 9.15.
C) 54.90.
D) 9.
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36
The 95% confidence interval estimate of a population variance when a sample variance of 324 is obtained from a sample of 81 items is

A) 14.14 to 174.94.
B) 243.086 to 453.520.
C) 16.42 to 194.35.
D) 254.419 to 429.203.
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37
A sample of 21 elements is selected to estimate a 90% confidence interval for the variance of the population.The chi-square value(s) to be used for this interval estimation is(are)

A) 31.410.
B) 12.443.
C) 10.851 and 31.410.
D) 12.443 and 28.412.
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38
The 90% confidence interval estimate of a population standard deviation when a sample variance of 50 is obtained from a sample of 15 items is

A) 26.8 to 124.356.
B) 5.177 to 11.152.
C) 5.436 to 10.321.
D) 29.555 to 106.529.
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39
The contents of a sample of 26 cans of apple juice showed a standard deviation of .06 ounces.We are interested in testing whether the variance of the population is significantly more than .003.The p-value for this test is

A) .05.
B) greater than .10.
C) less than .10.
D) zero.
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40
The critical value of F using α = .05 when there is a sample size of 21 for the sample with the smaller variance, and there is a sample size of 9 for the sample with the larger sample variance is

A) 2.45.
B) 2.94.
C) 2.37.
D) 2.10.
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41
There is a .90 probability of obtaining a <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. value such that ​

A) ​ <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. < <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. < <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. ​.
B) <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. ​.
C) ​ <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. ​.
D) ​ <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. < <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. < <strong>There is a .90 probability of obtaining a   value such that ​</strong> A) ​   <   <   ​. B)   ≤   ≤   ​. C) ​   ≤   ≤   ​. D) ​   <   <   ​. ​.
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42
​Consider the following hypothesis problem. n = 30
H0: σ2 = 500
S2 = 625
Ha: σ2 ≠ 500

​The test statistic equals

A) ​23.20.
B) ​24.00.
C) ​36.25.
D) ​37.50.
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43
​Consider the following hypothesis problem. n = 14
H0: σ2 < 410
S = 20
Ha: σ2 > 410

​The test statistic equals

A) .63.
B) ​12.68.
C) ​13.33.
D) ​13.68.
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44
Consider the following hypothesis problem. ​
N = 23
S2 = 60
H0: σ2 ≤ 66
Ha: σ2 > 66

If the test is to be performed at the .05 level of significance, the null hypothesis

A) should be rejected.
B) should not be rejected.
C) should be revised.
D) should not be tested.
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45
​Consider the following sample information from Population A and Population B. ​

Sample A
Sample B
N
24
16
S2
32
38
​​
We want to test the hypothesis that the population variances are equal.The test statistic for this problem equals

A) ​.67.
B) .84.
C) ​1.19.
D) ​1.50.
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46
To avoid the problem of not having access to tables of the F distribution when a one-tailed test is required and with F values given for the lower tail, let​ the

A) smaller sample variance be the numerator of the test statistic.
B) larger sample variance be the numerator of the test statistic.
C) sample variance from the population with the smaller hypothesized variance be the numerator of the test statistic.
D) sample variance from the population with the larger hypothesized variance be the numerator of the test statistic.
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47
A sample of 28 elements is selected to estimate a 95% confidence interval for the variance of the population.The chi-square values to be used for this interval estimation are​

A) 11.808 and 49.645.
B) ​14.573 and 43.195.
C) ​16.151 and 40.113.
D) ​15.308 and 44.461.
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48
​In practice, the most frequently encountered hypothesis test about a population variance is a

A) ​one-tailed test, with rejection region in the lower tail.
B) ​one-tailed test, with rejection region in the upper tail.
C) ​two-tailed test, with equal-size rejection regions.
D) ​two-tailed test, with unequal-size rejection regions.
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49
Consider the following hypothesis problem. ​
N = 23
S2 = 60
H0: σ2 ≤ 66
Ha: σ2 > 66

If the test is to be performed at the 5% level, the critical value(s) from the chi-square distribution table is(are)

A) 10.982 and 36.781.
B) 12.338 and 33.924.
C) 12.338.
D) 33.924.
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50
​Consider the following hypothesis problem. n = 14
H0: σ2 < 410
S = 20
Ha: σ2 > 410

At the 5% level of significance, the null hypothesis

A) should be rejected​.
B) ​should not be rejected​.
C) ​should be revised.
D) should not be tested.
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51
Consider the following hypothesis problem. ​
N = 23
S2 = 60
H0: σ2 ≤ 66
Ha: σ2 > 66

The p-value is

A) less than .025.
B) between .025 and .05.
C) between .05 and .10.
D) greater than .10.
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52
?Which of the following rejection rules is proper?

A) ?Reject H0 if p-value ? F?.
B) ?Reject H0 if F ? F?/2.
C) ?Reject H0 if p-value ? ?/2.
D) ?Reject H0 if F ? F?.
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53
​Consider the following hypothesis problem. n = 30
H0: σ2 = 500
S2 = 625
Ha: σ2 ≠ 500

At the 5% level of significance, the null hypothesis

A) ​should be rejected.
B) ​should not be rejected.
C) ​should be revised.
D) should not be tested.
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54
Consider the following hypothesis problem. n = 23
S2 = 60
H0: σ2 ≤ 66
Ha: σ2 > 66

The test statistic has a value of

A) 20.91.
B) 24.20.
C) 24.00.
D) 20.00.
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55
​Consider the following sample information from Population A and Population B. ​

Sample A
Sample B
N
24
16
S2
32
38
​​
We want to test the hypothesis that the population variances are equal.The null hypothesis is to be tested at the 10% level of significance.The critical value from the F distribution table is

A) 2.11.
B) ​2.13.
C) ​2.24.
D) ​2.29.
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56
Based on the sample evidence below, we want to test the hypothesis that population A has a larger variance than population B. Sample A
Sample B
N
11
10
S2
12)1
5

The test statistic for this problem equals

A) .4132.
B) 1.1.
C) 2.42.
D) 2.
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57
​Consider the following sample information from Population A and Population B. ​

Sample A
Sample B
N
24
16
S2
32
38
​​
We want to test the hypothesis that the population variances are equal.At the 10% level of significance, the null hypothesis

A) should be rejected.
B) ​should not be rejected.
C) ​should be revised.
D) should not be tested.
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58
​Consider the following hypothesis problem. n = 30
H0: σ2 = 500
S2 = 625
Ha: σ2 ≠ 500

​The null hypothesis is to be tested at the 5% level of significance.The critical value(s) from the chi-square distribution table is(are)

A) ​42.557.
B) ​43.773.
C) ​16.047 and 45.722.
D) ​16.791 and 46.979.
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59
​Consider the following hypothesis problem. n = 14
H0: σ2 < 410
S = 20
Ha: σ2 > 410

​The null hypothesis is to be tested at the 5% level of significance.The critical value(s) from the chi-square distribution table is(are)

A) 22.362.
B) ​23.685.
C) ​5.009 and 24.736.
D) ​5.629 and 26.119.
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60
Based on the sample evidence below, we want to test the hypothesis that population A has a larger variance than population B. ​
Sample A
Sample B
N
11
10
S2
12)1
5

The p-value is approximately

A) .10.
B) .05.
C) .025.
D) .01.
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61
An egg packing company has stated that the standard deviation of the weights of their grade A large eggs is .07 ounces or less.The sample variance for 51 eggs was .0065 ounces.Can this sample result confirm the company's claim? Use α = .1.
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62
A sample of 30 items provided a sample mean of 28 and a sample standard deviation of 6.Test the following hypotheses using α = .05.What is your conclusion?
H0: σ2 ≤ 25
Ha: σ2 > 25
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63
Do the following sample data indicate that the variance of the population from which it has been drawn is significantly more than 17? Use α = .05.
X
12
5
9
14
10
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64
A random sample of 20 observations showed a standard deviation of 8.At a .05 level of significance, test to see if the variance of the population is significantly less than 65.Use the critical value approach.
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65
At α = .1, test to see if the population variances from which the following samples were drawn are equal.
Sample 1
Sample 2
n1 = 21
n2 = 19
s1 = 18
s2 = 16
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66
The standard deviation of the ages of a sample of 16 executives from the northern states was 8.2 years; while the standard deviation of the ages of a sample of 25 executives from the southern states was 12.8 years.At α = .1, test to see if there is any difference between the variances of the ages of all the northern and all the southern executives.
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67
The average score of a sample of 30 students on their second statistics examination was 85 with a standard deviation of 11.Is the variance of the population significantly more than 80? Use a .05 level of significance.
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68
A company claims that the standard deviation in their delivery times is less than 5 days.A sample of 27 past customers was taken.The average delivery time in the sample was 14 days with a standard deviation of 4.5 days.At the 5% level of significance, test the company's claim.Use the critical value approach.
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69
A lumber company has claimed that the standard deviation for the lengths of their six-foot boards is .4 inches or less.To test their claim, a random sample of 16 six-foot boards is selected; and it is determined that the variance of the sample is .3.Do the results of the sample support the company's claim? Use α = .1.
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70
A random sample of 22 employees of a local utility firm showed that their monthly incomes had a sample standard deviation of $110.Provide a 90% confidence interval estimate for the standard deviation of the incomes of all employees of the firm.
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71
We are interested in determining whether or not the variances of the starting salaries of accounting majors is significantly different from management majors.The following information was gathered from two samples.
Accounting
Management
Sample Size
21
18
Average Monthly Income
$3600
$3500
Variance
$900
$400

At the .1 level of significance, test to determine whether or not the variances are equal.
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72
A random sample of 41 scores of students taking the ACT test showed a standard deviation of 8 points.Provide a 98% confidence interval estimate for the standard deviation of all the ACT test scores.
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73
Student advisors are interested in determining if the variances of the scores of day students and night students are the same.The following samples are drawn:
Day
Night
n1 = 25
n2 = 31
s1 = 9.8
s2 = 14.7

Test the equality of the variances of the populations.Let α = .05.
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74
A sample of 16 students showed that the variance in the number of hours they spend studying is 25.At the 5% level of significance, test to see if the variance of the population is significantly different from 30.Use the critical value approach.
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75
A sample of 22 bottles of soft drink showed a variance of .64 in their contents.At the 5% level, determine whether or not the standard deviation of the population is significantly different from .7 ounces.Use the critical value approach.
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76
A large company has claimed that the standard deviation of the monthly incomes of their employees is less than or equal to $120.To test their claim, a random sample of 76 employees of the company was taken; and it was determined that the standard deviation of their incomes was $135.Using α = .10, test the company's claim.
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77
We are interested in determining whether or not the variances of the sales are equal for two small grocery stores.A sample of 16 days of sales at each store indicated the following.
Store A
Store B
n1 = 16
n2 = 16
s1 = $130
s2 = $100

Are the variances of the populations (from which these samples came) equal?
Use α = .05.
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78
A random sample of 21 checking accounts at a bank showed an average daily balance of $430 with a standard deviation of $50.
a.
Provide a 95% confidence interval estimate for the variance of the population of the checking accounts.
b.
Provide a 95% confidence interval estimate for the standard deviation of the population of the checking accounts.
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79
The standard deviation of the daily temperatures in Honolulu last year was 4 degrees Fahrenheit.A random sample of 25 days resulted in a standard deviation of 5.8 degrees Fahrenheit.Has there been a significant increase in the variance of the temperatures? Use α = .05.
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80
A sample of 14 items provides a sample mean of 20 and a sample variance of 18.Compute a 95% confidence interval estimate for the standard deviation of the population.
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Unlock Deck
Unlock for access to all 85 flashcards in this deck.