Mathematical Statistics with Applications
Mathematical Statistics with Applications
7th Edition
ISBN: 9781111798789
Author: Dennis O. Wackerly
Publisher: Cengage Learning
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Chapter 14.5, Problem 24E

How do Americans in the “sandwich generation” balance the demands of caring for older and younger relatives? The following table contains the results of a telephone poll of Americans aged 45 to 55 years conducted by the New York Times.9 From each of four subpopulations, 200 individuals were polled and asked whether they were providing financial support for their parents.

Chapter 14.5, Problem 24E, How do Americans in the sandwich generation balance the demands of caring for older and younger

  1. a Use the χ2 test to determine whether the proportions of individuals providing financial support for their parents differ for the four subpopulations. Use α = .05.
  2. b Since the samples are independent, confidence intervals to compare the proportions in each subpopulation who financially support their parents can be obtained using the method presented in Section 8.6.
    1. i Give a 95% confidence interval for the difference in proportions who provide parental support for White and Asian Americans.
    2. ii Use the Bonferroni method presented in Section 13.12 to give six simultaneous confidence intervals to compare the proportions who provide parental support for all pairs of subpopulations. The objective is to provide intervals with simultaneous confidence coefficient at least .95.
    3. iii Based on your answer to part (ii), which subpopulations differ from the others regarding the proportion who provide financial support for their parents?
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What were the average sales for the four weeks prior to the experiment? What were the sales during the four weeks when the stores used the digital display? What is the mean difference in sales between the experimental and regular POP time periods? State the null hypothesis being tested by the paired sample t-test. Do you reject or retain the null hypothesis? At a 95% significance level, was the difference significant? Explain why or why not using the results from the paired sample t-test. Should the manager of the retail chain install new digital displays in each store? Justify your answer.
A retail chain is interested in determining whether a digital video point-of-purchase (POP) display would stimulate higher sales for a brand advertised compared to the standard cardboard point-of-purchase display. To test this, a one-shot static group design experiment was conducted over a four-week period in 100 different stores. Fifty stores were randomly assigned to the control treatment (standard display) and the other 50 stores were randomly assigned to the experimental treatment (digital display). Compare the sales of the control group (standard POP) to the experimental group (digital POP). What were the average sales for the standard POP display (control group)? What were the sales for the digital display (experimental group)? What is the (mean) difference in sales between the experimental group and control group? List the null hypothesis being tested. Do you reject or retain the null hypothesis based on the results of the independent t-test? Was the difference between the…
Question 4 An article in Quality Progress (May 2011, pp. 42-48) describes the use of factorial experiments to improve a silver powder production process. This product is used in conductive pastes to manufacture a wide variety of products ranging from silicon wafers to elastic membrane switches. Powder density (g/cm²) and surface area (cm/g) are the two critical characteristics of this product. The experiments involved three factors: reaction temperature, ammonium percentage, stirring rate. Each of these factors had two levels, and the design was replicated twice. The design is shown in Table 3. A222222222222233 Stir Rate (RPM) Ammonium (%) Table 3: Silver Powder Experiment from Exercise 13.23 Temperature (°C) Density Surface Area 100 8 14.68 0.40 100 8 15.18 0.43 30 100 8 15.12 0.42 30 100 17.48 0.41 150 7.54 0.69 150 8 6.66 0.67 30 150 8 12.46 0.52 30 150 8 12.62 0.36 100 40 10.95 0.58 100 40 17.68 0.43 30 100 40 12.65 0.57 30 100 40 15.96 0.54 150 40 8.03 0.68 150 40 8.84 0.75 30 150…

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