May 18, 2017

- Provide an appropriate response.
**1.**The test statistic for testing hypothesis about two variances is F = s_{1}^{2}/s_{2}^{2}where s_{1}^{2}> s_{2}^{2}. Describe the numeric possibilities for this test statistic. Explain the circumstances under which the conclusion would be either that the variances are equal or that the variances are not equal.*Possible answer*

- Find the number of successes x suggested by the given statement.
**2.**Among 730 people selected randomly from among the eligible voters in one city, 64% were homeowners.- 467
- 463
- 472
- 471

- From the sample statistics, find the value of p-bar used to test the hypothesis that the population proportions are equal.
**3.**n_{1}= 216, x_{1}= 76; n_{2}= 186, x_{2}= 99- 0.435
- 0.218
- 0.392
- 0.305

- Compute the test statistic used to test the null hypothesis that p
_{1}= p_{2}.**4.**Information about movie ticket sales was printed in a movie magazine. Out of fifty PG-rated movies, 44% had ticket sales in excess of $3,000,000. Out of thirty-five R-rated movies, 22% grossed over $3,000,000.- 6.491
- 3.350
- 2.089
- 4.188

- Find the appropriate p-value to test the null hypothesis, H
_{0}: p_{1}= p_{2}, using a significance level of 0.05.**5.**n_{1}= 200, x_{1}= 11; n_{2}= 100, x_{2}= 8- .1011
- .4010
- .0201
- .0012

- Use the traditional method to test the given hypothesis. Assume that the samples are independent and that they have been randomly selected.
**6.**Use the given sample data to test the claim p_{1}< p_{2}. Use a significance level of 0.10.

Sample 1: n_{1}= 462, x_{1}= 84

Sample 2: n_{2}= 380, x_{2}= 95*Possible answer***7.**In a random sample of 360 women, 65% favored stricter gun control laws. In a random sample of 220 men, 60% favored stricter gun control laws. Test the claim that the proportion of women favoring stricter gun control is higher than the proportion of men favoring stricter gun control. Use a significance level of 0.05.*Possible answer*

- Construct the indicated confidence interval for the difference between population proportions p
_{1}_{ }— p_{2}. Assume that the samples are independent and that they have been randomly selected.**8.**x_{1}= 36, n_{1}= 80 and x_{2}= 44, n_{2}= 85. Construct a 95% confidence interval for the difference between population proportions p_{1}— p_{2}_{.}- 0.269 < p
_{1}— p_{2}< 0.631 - –0.220 < p
_{1}— p_{2}< 0.085 - 0.298 < p
_{1}— p_{2}< 0.602 - –0.249 < p
_{1}— p_{2}< 0.631

- 0.269 < p

- Determine whether the samples are independent or consist of matched pair.
**9.**The effect of caffeine as an ingredient is tested with a sample of regular soda and another sample with decaffeinated soda.- Matched pairs.
- Independent samples.

- Test the indicated claim about the means of two populations. Assume that the two samples are independent and that they have been randomly selected.
**10.**A researcher wishes to determine whether people with high blood pressure can reduce their blood pressure by following a particular diet. Use the sample data below to test the claim that the treatment population mean µ_{1}is smaller than the control population mean µ_{2}. Test the claim using a significance level of 0.01.__Treatment Group:__n_{1}= 101, x̅_{1}= 120.5, s_{1}= 17.4;__Control Group:__n_{2}= 105, x̅_{2}= 149.3, s_{2}= 30.2.*Possible answer*

- Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent and that they have been randomly selected.
**11.**Independent samples from two different populations yield the following data: x̅_{1}= 200, x̅_{2}= 963, s_{1}= 19, s_{2}= 86. The sample size is 433 for both samples. Find the 90 percent confidence interval for µ_{1}– µ_{2}.- –777 < µ
_{1}– µ_{2}< –749 - –763 < µ
_{1}– µ_{2}< –763 - –770 < µ
_{1}– µ_{2}< –756 - –768 < µ
_{1}– µ_{2}< –758

- –777 < µ

- Use the computer display to solve the problem.
**12.**When testing for a difference between the means of a treatment group and a placebo group, the computer display below is obtained. Using a 0.01 significance level, is there sufficient evidence to support the claim that the treatment group (variable 1) comes from a population with a mean that is greater than the mean for the placebo population? Explain.

*Possible answer*

- The two data sets are dependent. Find the mean value of the differences d-bar for the paired sample data (d-bar) to the nearest tenth.
**13.*****

X: 223, 196, 220, 182, 278, 298, 302

Y: 205, 140, 195, 153, 235, 247, 284- 34.3
- 44.6
- 205.8
- 20.6

- Find s
_{d}.**14.**The differences between two sets of dependent data are –8, –9, –9, –6, –7. Round to the nearest tenth.- 2.6
- 34.3
- 1.7
- 44.6

- Assume that you want to test the claim that the paired sample data come from a population for which the mean difference is µ
_{d}= 0. Compute the value of the t test statistic.**15.**- t = 0.998
- t = 2.391
- t = 0.845
- t = 6.792

- Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis.
**16.**A farmer has decided to use a new additive to grow his crops. He divided his farm into 10 plots and kept records of the corn yield (in bushels) before and after using the additive. The results are shown below.

You wish the test the following hypothesis at the 1 percent level of significance.

H_{0}: µ_{D}= 0 against H_{1}: µ_{D}≠ 0.

What decision rule would you use?- Reject H
_{0}if test statistic is greater than 3.250. - Reject H
_{0}if test statistic is less than –3.250. - Reject H
_{0}if test statistic is less than –3.250 or greater than 3.250. - Reject H
_{0}if test statistic is greater than –3.250 or less than 3.250.

- Reject H

- Use the traditional method of hypothesis testing to test the given claim about the means of two populations. Assume that two dependent samples have been randomly selected from normally distributed populations.
**17.**A coach uses a new technique to train gymnasts. 7 gymnasts were randomly selected and their competition scores were recorded before and after the training. The results are shown below:

Using a 0.01 level of significance, test the claim that the training technique is effective in raising the gymnasts’ scores.*Possible answer*

- Construct a confidence interval for µ
_{d}, the mean of the differences d for the population of paired data. Assume that the population of paired differences is normally distributed.**18.**Using the sample paired data below, construct a 90% confidence interval for the population mean of all differences x – y.

- 0.22 < µ
_{d}< 7.48 - –0.07 < µ
_{d}< 1.47 - –0.37 < µ
_{d}< 1.77 - –0.31 < µ
_{d}< 1.71

- 0.22 < µ

- Test the indicated claim about the variances or standard deviations of two populations. Assume that the populations are normally distributed. Assume that the two samples are independent and that they have been randomly selected.
**19.**Test the claim that populations A and B have different variances. Use a significance level of 0.10.

Sample A: n = 28, x̅ = 19.2, s = 5.38

Sample B: n = 41, x̅ = 23.7, s = 5.89*Possible answer*

- Solve the problem.
**20.**A test for homogeneity of variance is conducted at the 5% level of significance. Sample sizes are n_{1}= 250 and n_{2}= 275. The test statistic is 5.8231. What do you know about the variance of the populations from which the samples were taken?*Possible answer*

*Problems with solutions in Elementary Statistics — Inferences About Two Proportions; Inferences About Two Means: Independent Samples; Inferences from Matched Pairs; Comparing Variation in Two Samples.***Directions:**

*Give your answers to the short-answer items. Choose the correct answer for multiple-choice items.*

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