STATS:DATA+MODELS(LL)-W/ACCESS>CUSTOM<
21st Edition
ISBN: 9780137643219
Author: DeVeaux
Publisher: PEARSON
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Chapter 16, Problem 22E
To determine
Explain exactly what the statement “estimate has a margin of error of about 3%” means.
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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).
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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?
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Chapter 16 Solutions
STATS:DATA+MODELS(LL)-W/ACCESS>CUSTOM<
Ch. 16.2 - 1. You want to poll a random sample of 100...Ch. 16.2 - Prob. 2JCCh. 16.2 - Prob. 3JCCh. 16.3 - Prob. 4JCCh. 16.3 - Prob. 5JCCh. 16.3 - Prob. 6JCCh. 16.3 - Prob. 7JCCh. 16.3 - Prob. 8JCCh. 16.5 - Prob. 9JCCh. 16.5 - Prob. 10JC
Ch. 16.5 - Think some more about the 95% confidence interval...Ch. 16 - Prob. 1ECh. 16 - 2. Marketing The proportion of adult women in the...Ch. 16 - Prob. 3ECh. 16 - Prob. 4ECh. 16 - 5. Living online Pew Research, in 2015, polled a...Ch. 16 - 6. How’s life? Gallup regularly conducts a poll...Ch. 16 - 7. Marriage According to a Pew Research survey,...Ch. 16 - 8. Campus sample For her final project, Stacy...Ch. 16 - Prob. 9ECh. 16 - Prob. 10ECh. 16 - Prob. 11ECh. 16 - 12. Soup A machine is supposed to fill cans with...Ch. 16 - Prob. 13ECh. 16 - 14. Spanking In a 2015 Pew Research study on...Ch. 16 - Prob. 15ECh. 16 - 16. Smoking The Gallup poll described in Exercise...Ch. 16 - Prob. 17ECh. 16 - Prob. 18ECh. 16 - Prob. 19ECh. 16 - 20. Hiring In preparing a report on the economy,...Ch. 16 - Prob. 21ECh. 16 - Prob. 22ECh. 16 - Prob. 23ECh. 16 - 24. More conditions Consider each situation...Ch. 16 - Prob. 25ECh. 16 - 26. More conclusions In January 2002, two students...Ch. 16 - Prob. 27ECh. 16 - 28. Confidence intervals, again Several factors...Ch. 16 - Prob. 29ECh. 16 - Prob. 30ECh. 16 - 31. Mislabeled seafood In 2013 the environmental...Ch. 16 - Prob. 32ECh. 16 - Prob. 33ECh. 16 - 34. Still living online The Pew Research poll...Ch. 16 - Prob. 35ECh. 16 - 36. Take the offer First USA, a major credit card...Ch. 16 - Prob. 37ECh. 16 - 38. Junk mail Direct mail advertisers send...Ch. 16 - Prob. 39ECh. 16 - 40. Local news The mayor of a small city has...Ch. 16 - Prob. 41ECh. 16 - 42. Gambling A city ballot includes a local...Ch. 16 - Prob. 43ECh. 16 - 44. Teachers A 2011 Gallup poll found that 76% of...Ch. 16 - Prob. 45ECh. 16 - Prob. 46ECh. 16 - Prob. 47ECh. 16 - 48. Back to campus II Suppose ACT, Inc. wants to...Ch. 16 - Prob. 49ECh. 16 - Prob. 50ECh. 16 - Prob. 51ECh. 16 - Prob. 52ECh. 16 - Prob. 53ECh. 16 - Prob. 54E
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- 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…arrow_forward- + ++ Table 2: Crack Experiment for Exercise 2 A B C D Treatment Combination (1) Replicate I II 7.037 6.376 14.707 15.219 |++++ 1 བྱ॰༤༠སྦྱོ སྦྱོཋཏྟཱུ a b ab 11.635 12.089 17.273 17.815 с ас 10.403 10.151 4.368 4.098 bc abc 9.360 9.253 13.440 12.923 d 8.561 8.951 ad 16.867 17.052 bd 13.876 13.658 abd 19.824 19.639 cd 11.846 12.337 acd 6.125 5.904 bcd 11.190 10.935 abcd 15.653 15.053 Question 3 Continuation of Exercise 2. One of the variables in the experiment described in Exercise 2, heat treatment method (C), is a categorical variable. Assume that the remaining factors are continuous. (a) Write two regression models for predicting crack length, one for each level of the heat treatment method variable. What differences, if any, do you notice in these two equations? (b) Generate appropriate response surface contour plots for the two regression models in part (a). (c) What set of conditions would you recommend for the factors A, B, and D if you use heat treatment method C = +? (d) Repeat…arrow_forwardQuestion 2 A nickel-titanium alloy is used to make components for jet turbine aircraft engines. Cracking is a potentially serious problem in the final part because it can lead to nonrecoverable failure. A test is run at the parts producer to determine the effect of four factors on cracks. The four factors are: pouring temperature (A), titanium content (B), heat treatment method (C), amount of grain refiner used (D). Two replicates of a 24 design are run, and the length of crack (in mm x10-2) induced in a sample coupon subjected to a standard test is measured. The data are shown in Table 2. 1 (a) Estimate the factor effects. Which factor effects appear to be large? (b) Conduct an analysis of variance. Do any of the factors affect cracking? Use a = 0.05. (c) Write down a regression model that can be used to predict crack length as a function of the significant main effects and interactions you have identified in part (b). (d) Analyze the residuals from this experiment. (e) Is there an…arrow_forward
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