Exam 10: Inference From Small Samples

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In comparing two population means when samples are matched pairs, the variable under consideration is d, the difference between the corresponding sample values.

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Which of the following statements is false?

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Private colleges and universities rely on money contributed by individuals and corporations for their operating expenses. Much of this money is put into a fund called an endowment, and the college spends only the interest earned by the fund. A recent survey of 8 private colleges in the United States revealed the following endowments (in millions of dollars): 60.2, 47.0, 235.1, 490.0, 122.6, 177.5, 95.4, and 220.0. Summary statistics yield Private colleges and universities rely on money contributed by individuals and corporations for their operating expenses. Much of this money is put into a fund called an endowment, and the college spends only the interest earned by the fund. A recent survey of 8 private colleges in the United States revealed the following endowments (in millions of dollars): 60.2, 47.0, 235.1, 490.0, 122.6, 177.5, 95.4, and 220.0. Summary statistics yield   =180.975 and s = 143.042. A 95% confidence interval for the mean endowment of all the private colleges in the United States is: =180.975 and s = 143.042. A 95% confidence interval for the mean endowment of all the private colleges in the United States is:

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Let Let   denote the true average number of minutes of a television commercial. Suppose the hypotheses   are tested. Assuming the commercial time is normally distributed, give the appropriate rejection region for each of the following sample sizes and significance levels. n = 6,   = 0.01 ______________ n = 12,   = 0.05 ______________ n = 20,   = 0.05 ______________ n = 23,   = 0.1 ______________ You may use the Data Analysis software to find the answers. denote the true average number of minutes of a television commercial. Suppose the hypotheses Let   denote the true average number of minutes of a television commercial. Suppose the hypotheses   are tested. Assuming the commercial time is normally distributed, give the appropriate rejection region for each of the following sample sizes and significance levels. n = 6,   = 0.01 ______________ n = 12,   = 0.05 ______________ n = 20,   = 0.05 ______________ n = 23,   = 0.1 ______________ You may use the Data Analysis software to find the answers. are tested. Assuming the commercial time is normally distributed, give the appropriate rejection region for each of the following sample sizes and significance levels. n = 6, Let   denote the true average number of minutes of a television commercial. Suppose the hypotheses   are tested. Assuming the commercial time is normally distributed, give the appropriate rejection region for each of the following sample sizes and significance levels. n = 6,   = 0.01 ______________ n = 12,   = 0.05 ______________ n = 20,   = 0.05 ______________ n = 23,   = 0.1 ______________ You may use the Data Analysis software to find the answers. = 0.01 ______________ n = 12, Let   denote the true average number of minutes of a television commercial. Suppose the hypotheses   are tested. Assuming the commercial time is normally distributed, give the appropriate rejection region for each of the following sample sizes and significance levels. n = 6,   = 0.01 ______________ n = 12,   = 0.05 ______________ n = 20,   = 0.05 ______________ n = 23,   = 0.1 ______________ You may use the Data Analysis software to find the answers. = 0.05 ______________ n = 20, Let   denote the true average number of minutes of a television commercial. Suppose the hypotheses   are tested. Assuming the commercial time is normally distributed, give the appropriate rejection region for each of the following sample sizes and significance levels. n = 6,   = 0.01 ______________ n = 12,   = 0.05 ______________ n = 20,   = 0.05 ______________ n = 23,   = 0.1 ______________ You may use the Data Analysis software to find the answers. = 0.05 ______________ n = 23, Let   denote the true average number of minutes of a television commercial. Suppose the hypotheses   are tested. Assuming the commercial time is normally distributed, give the appropriate rejection region for each of the following sample sizes and significance levels. n = 6,   = 0.01 ______________ n = 12,   = 0.05 ______________ n = 20,   = 0.05 ______________ n = 23,   = 0.1 ______________ You may use the Data Analysis software to find the answers. = 0.1 ______________ You may use the Data Analysis software to find the answers.

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In testing In testing   vs.   the following sample data were recorded: 11.5, 6.5, and 5.4. Then, the p-value of the test is: vs. In testing   vs.   the following sample data were recorded: 11.5, 6.5, and 5.4. Then, the p-value of the test is: the following sample data were recorded: 11.5, 6.5, and 5.4. Then, the p-value of the test is:

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A drapery store manager was interested in determining whether a new employee can install vertical blinds faster than an employee who has been with the company for two years. The manager takes independent samples of 10 vertical blind installations of each of the two employees and computes the following information. A drapery store manager was interested in determining whether a new employee can install vertical blinds faster than an employee who has been with the company for two years. The manager takes independent samples of 10 vertical blind installations of each of the two employees and computes the following information.    a. State the appropriate null and alternative hypotheses to test whether the new employee installs vertical blinds faster, on the average, than the veteran employee. ______________ b. Calculate the pooled estimate of the common variance. ______________ c. Calculate the value of the test statistic. ______________ d. Set up the appropriate rejection region for the hypotheses in question 41 assuming    = 0.05. ______________  e. What is the appropriate conclusion? The new employee ______________ install vertical blinds faster than the veteran employee. a. State the appropriate null and alternative hypotheses to test whether the new employee installs vertical blinds faster, on the average, than the veteran employee. ______________ b. Calculate the pooled estimate of the common variance. ______________ c. Calculate the value of the test statistic. ______________ d. Set up the appropriate rejection region for the hypotheses in question 41 assuming A drapery store manager was interested in determining whether a new employee can install vertical blinds faster than an employee who has been with the company for two years. The manager takes independent samples of 10 vertical blind installations of each of the two employees and computes the following information.    a. State the appropriate null and alternative hypotheses to test whether the new employee installs vertical blinds faster, on the average, than the veteran employee. ______________ b. Calculate the pooled estimate of the common variance. ______________ c. Calculate the value of the test statistic. ______________ d. Set up the appropriate rejection region for the hypotheses in question 41 assuming    = 0.05. ______________  e. What is the appropriate conclusion? The new employee ______________ install vertical blinds faster than the veteran employee. = 0.05. ______________ e. What is the appropriate conclusion? The new employee ______________ install vertical blinds faster than the veteran employee.

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Like that of the Student t-distribution, the shape of the chi-squared distribution depends on:

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The 90th percentile of a chi-squared distribution with 15 degrees of freedom is equal to 22.3072.

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In testing In testing   vs.   if   and   then the calculated value of the test statistic is F = 1.60. vs. In testing   vs.   if   and   then the calculated value of the test statistic is F = 1.60. if In testing   vs.   if   and   then the calculated value of the test statistic is F = 1.60. and In testing   vs.   if   and   then the calculated value of the test statistic is F = 1.60. then the calculated value of the test statistic is F = 1.60.

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A statistics professor wanted to test whether the grades on statistics test were the same for upper and lower classmen. The professor took a random sample of size 12 from each and conducted a test determining that the variances were equal. For this situation, the professor should use a matched pairs t-test.

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In comparing two population means of interval data, we must decide whether the samples are independent (in which case the parameter of interest is In comparing two population means of interval data, we must decide whether the samples are independent (in which case the parameter of interest is   ) or matched pairs (in which case the parameter is   ) in order to select the correct test statistic. ) or matched pairs (in which case the parameter is In comparing two population means of interval data, we must decide whether the samples are independent (in which case the parameter of interest is   ) or matched pairs (in which case the parameter is   ) in order to select the correct test statistic. ) in order to select the correct test statistic.

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If you wish to test If you wish to test   vs.   at the .05 level of significance using a sample of 15 observations, the critical value to be used is 23.685. vs. If you wish to test   vs.   at the .05 level of significance using a sample of 15 observations, the critical value to be used is 23.685. at the .05 level of significance using a sample of 15 observations, the critical value to be used is 23.685.

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Suppose that a one-tail t-test is being applied to find out if the population mean is less than 100. The level of significance is 0.05 and 25 observations were sampled. The rejection region is:

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The shape of the Student t-distribution depends on:

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The statistic The statistic   is chi-squared distributed with n-1 degrees of freedom only if: is chi-squared distributed with n-1 degrees of freedom only if:

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The general manager of a chain of fast food chicken restaurants wants to determine how effective their promotional campaigns are. In these campaigns "20% off" coupons are widely distributed. These coupons are only valid for one week. To examine their effectiveness, the executive records the daily gross sales (in $1,000s) in one restaurant during the campaign and during the week after the campaign ends. The data is shown below. The general manager of a chain of fast food chicken restaurants wants to determine how effective their promotional campaigns are. In these campaigns 20% off coupons are widely distributed. These coupons are only valid for one week. To examine their effectiveness, the executive records the daily gross sales (in $1,000s) in one restaurant during the campaign and during the week after the campaign ends. The data is shown below.   Can they infer at the 5% significance level that sales increase during the campaign? Use the Data Analysis software if you prefer. Test statistic = ______________ Critical Value(s) = ______________ Conclusion: ______________ Interpretation: __________________________________________ Estimate with 95% confidence the mean difference. ______________ Can they infer at the 5% significance level that sales increase during the campaign? Use the Data Analysis software if you prefer. Test statistic = ______________ Critical Value(s) = ______________ Conclusion: ______________ Interpretation: __________________________________________ Estimate with 95% confidence the mean difference. ______________

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When finding a confidence interval for a population mean based on a sample of size 8, which assumption is made?

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In comparing two means when samples are dependent, the variable under consideration is In comparing two means when samples are dependent, the variable under consideration is   , where the subscript D refers to the difference. , where the subscript D refers to the difference.

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The pooled-variances t-test requires that the two population variances need not be the same.

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The F-test used for testing the difference in two population variances is always a one-tailed test.

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