Deck 11: Inferences About Population Variances
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Deck 11: Inferences About Population Variances
1
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.
A) the larger sample size.
B) the smaller sample size.
C) the larger sample variance.
D) the smaller sample variance.
the larger sample variance.
2
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.
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.
3
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.
A) 2.3.
B) 22.99.
C) 6.84.
D) 1.368.
6.84.
4
Which of the following has a chi-square distribution?
A) (n - 1)s2/σ2.
B) (n - 1)σ/s.
C) (n - 1.0)s/σ.
D) (n - 1.0)s2/σ2.
A) (n - 1)s2/σ2.
B) (n - 1)σ/s.
C) (n - 1.0)s/σ.
D) (n - 1.0)s2/σ2.
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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.
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.
A) H0: σ2 ≥ .05.
B) H0: s2 ≥ .05.
C) H0: s2 ≤ .05.
D) H0: σ2 ≤ .05.
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7
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.
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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8
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.
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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9
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.
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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10
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.
A) .2313 to .8533.
B) .2224 to .7924.
C) .3042 to .5843.
D) .0925 to .3413.
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11
The symbol used for the variance of the sample is
A) σ.
B) σ2.
C) s.
D) s2.
A) σ.
B) σ2.
C) s.
D) s2.
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12
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.
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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13
Which of the following has an F distribution?
A) (n - 1)s/σ.
B) s1/s2.
C) (n - 1)s1/s2.
D)
.
A) (n - 1)s/σ.
B) s1/s2.
C) (n - 1)s1/s2.
D)

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14
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.
A) between .025 to .05.
B) between .05 to .10.
C) .05.
D) .025.
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15
The symbol used for the variance of the population is
A) σ.
B) σ2.
C) s.
D) s2.
A) σ.
B) σ2.
C) s.
D) s2.
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16
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.
A) 62.5.
B) 12.5.
C) 51.25.
D) 50.
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17
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.
A) an F distribution.
B) a t distribution.
C) a chi-square distribution.
D) a normal distribution.
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18
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.
A) 20.
B) 21.
C) 30.
D) 7.5.
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19
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.
A) 2.48.
B) 2.58.
C) 3.63.
D) 2.96.
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20
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.
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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21
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.
A) s2 > .003.
B) s2 ≤ .003.
C) σ2 > .003.
D) σ2 ≤ .003.
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22
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.
A) 1.2.
B) 31.2.
C) 30.
D) 500.
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23
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.
A) should be rejected.
B) should not be rejected.
C) should be revised.
D) should not be tested.
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24
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.
A) 2.39.
B) 2.94.
C) 2.91.
D) 3.46.
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25
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.
A) 33.196.
B) 36.415.
C) 39.364.
D) 37.652.
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26
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.
A) 31.410.
B) 12.443.
C) 10.851 and 31.410.
D) 12.443 and 28.412.
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27
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.
A) chi-square distribution.
B) normal distribution.
C) F distribution.
D) t distribution.
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28
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.
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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29
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.
A) σ < 7.
B) σ2 ≥ 7.
C) σ < 49.
D) σ2 ≥ 49.
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30
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.
A) .8.
B) 1.56.
C) 1.5.
D) 1.25.
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31
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.
A) .05.
B) greater than .10.
C) less than .10.
D) zero.
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32
The sampling distribution of the quantity (n - 1)s2/σ2 is the
A) chi-square distribution.
B) normal distribution.
C) F distribution.
D) t distribution.
A) chi-square distribution.
B) normal distribution.
C) F distribution.
D) t distribution.
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33
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.
A) 21.064.
B) 23.685.
C) 7.790.
D) 6.571.
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34
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.
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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35
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.
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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36
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.
A) 2.45.
B) 2.94.
C) 2.37.
D) 2.10.
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37
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.
A) H0: σ2 > 625.
B) H0: σ2 ≤ 625.
C) H0: σ2 ≥ 625.
D) H0: σ2 ≤ 25.
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38
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.
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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39
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.
A) 54.
B) 9.15.
C) 54.90.
D) 9.
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40
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.
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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41
Consider the following hypothesis problem.
The test statistic has a value of
A) 20.91.
B) 24.20.
C) 24.00.
D) 20.00.

A) 20.91.
B) 24.20.
C) 24.00.
D) 20.00.
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42
Consider the following hypothesis problem.
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.

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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43
There is a .90 probability of obtaining a
value such that
A)
<
<
.
B)
≤
≤
.
C)
≤
≤
.
D)
<
<
.

A)



B)



C)



D)



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44
Consider the following hypothesis problem.
The p-value is
A) less than .025.
B) between .025 and .05.
C) between .05 and .10.
D) greater than .10.

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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45
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.
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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46
Consider the following sample information from Population A and Population B.
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.

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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47
Consider the following sample information from Population A and Population B.
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.

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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48
Consider the following sample information from Population A and Population B.
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.

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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49
Consider the following hypothesis problem.
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.

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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50
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.
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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51
Consider the following hypothesis problem.
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.

A) 42.557.
B) 43.773.
C) 16.047 and 45.722.
D) 16.791 and 46.979.
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52
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.
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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53
Consider the following hypothesis problem.
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.

A) 22.362.
B) 23.685.
C) 5.009 and 24.736.
D) 5.629 and 26.119.
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54
Consider the following hypothesis problem.
The test statistic equals
A) 23.20.
B) 24.00.
C) 36.25.
D) 37.50.

A) 23.20.
B) 24.00.
C) 36.25.
D) 37.50.
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55
Consider the following hypothesis problem.
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.

A) should be rejected.
B) should not be rejected.
C) should be revised.
D) should not be tested.
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56
Consider the following hypothesis problem.
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.

A) should be rejected.
B) should not be rejected.
C) should be revised.
D) should not be tested.
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57
?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?.
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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58
Based on the sample evidence below, we want to test the hypothesis that population A has a larger variance than population B.
The p-value is approximately
A) .10.
B) .05.
C) .025.
D) .01.

The p-value is approximately
A) .10.
B) .05.
C) .025.
D) .01.
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59
Consider the following hypothesis problem.
The test statistic equals
A) .63.
B) 12.68.
C) 13.33.
D) 13.68.

A) .63.
B) 12.68.
C) 13.33.
D) 13.68.
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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.
The test statistic for this problem equals
A) .4132.
B) 1.1.
C) 2.42.
D) 2.

A) .4132.
B) 1.1.
C) 2.42.
D) 2.
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61
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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62
At α = .1, test to see if the population variances from which the following samples were drawn are equal. 

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63
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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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
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:
Test the equality of the variances of the populations. Let α = .05.

Test the equality of the variances of the populations. Let α = .05.
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66
At α = .1, test to see if the population variances from which the following samples were drawn are equal.
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