UNDERSTANDING BASIC STAT LL BUND >A< F
7th Edition
ISBN: 9781337372763
Author: BRASE
Publisher: Cengage Learning
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Chapter 8, Problem 2LCWP
Throughout Chapter 8. we have used the
Give a brief outline describing how confidence intervals for
Give a brief outline describing how the normal approximation to the binomial distribution is used in the construction of confidence intervals for a proportion p.
Give a brief outline describing how the
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What were the average sales for the four weeks prior to the experiment?
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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).
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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…
Chapter 8 Solutions
UNDERSTANDING BASIC STAT LL BUND >A< F
Ch. 8.1 - In Problems 1-8, answer true or false. Explain...Ch. 8.1 - In Problems 1-8, answer true or false. Explain...Ch. 8.1 - In Problems 1-8, answer true or false. Explain...Ch. 8.1 - In Problems 1-8, answer true or false. Explain...Ch. 8.1 - In Problems 1-8, answer true or false. Explain...Ch. 8.1 - In Problems 1-8, answer true or false. Explain...Ch. 8.1 - In Problems 1-8, answer true or false. Explain...Ch. 8.1 - In Problems 1-8, answer true or false. Explain...Ch. 8.1 - Critical Thinking Sam computed a 95% confidence...Ch. 8.1 - Critical Thinking Sam computed a 90% confidence...
Ch. 8.1 - Basic Computation: Confidence Interval Suppose x...Ch. 8.1 - Basic Computation:Confidence Interval Suppose x...Ch. 8.1 - Basic Computation: Sample Size Suppose x has a...Ch. 8.1 - Basic Computation: Sample Size Suppose x has a...Ch. 8.1 - Zoology: Hummingbirds Allen's hummingbird...Ch. 8.1 - Diagnostic Tests: Uric Acid Overproduction of uric...Ch. 8.1 - Diagnostic Tests: Plasma Volume Total plasma...Ch. 8.1 - Agriculture: Watermelon What price do farmers get...Ch. 8.1 - FBI Report: Larceny Thirty small communities in...Ch. 8.1 - Confidence Intervals: Values of A random sample...Ch. 8.1 - Confidence Intervals: Sample Size A random sample...Ch. 8.1 - Ecology: Sand Dunes At wind speeds above 1000...Ch. 8.1 - Profits: Banks Jobs and productivity! How do banks...Ch. 8.1 - Prob. 24PCh. 8.1 - Ballooning: Air Temperature How hot is the air in...Ch. 8.2 - Use Table 4 of the Appendix to find tc for a 0.95...Ch. 8.2 - Use Table 4 of the Appendix to find tc for a 0.99...Ch. 8.2 - Use Table 4 of the Appendix to find tc for a 0.90...Ch. 8.2 - Use Table 4 of the Appendix to find tc for a 0.95...Ch. 8.2 - Statistical Literacy Students t distributions are...Ch. 8.2 - Statistical Literacy As the degrees of freedom...Ch. 8.2 - Critical Thinking Consider a 90% confidence...Ch. 8.2 - Critical Thinking Consider a 90% confidence...Ch. 8.2 - Critical Thinking Lorraine computed a confidence...Ch. 8.2 - Critical Thinking Lorraine was in a hum when she...Ch. 8.2 - Basic Computation: Confidence Interval Suppose x...Ch. 8.2 - Basic Computation: Confidence Interval A random...Ch. 8.2 - In Problems 13-19. assumethat the population of x...Ch. 8.2 - In Problems 13-19. assumethat the population of x...Ch. 8.2 - In Problems 13-19. assume that the population of x...Ch. 8.2 - In Problems 13-19, assume that the population of x...Ch. 8.2 - In Problems 13-19, assume that the population of x...Ch. 8.2 - In Problems 13-19, assume that the population of x...Ch. 8.2 - 19 Critical Thinking: Boxplots and Confidence...Ch. 8.2 - Crime Rale: Denver The following data represent...Ch. 8.2 - Finance: P/E Ratio The price of a share of stock...Ch. 8.2 - 22.
Baseball: Home Run Percentage The home run...Ch. 8.2 - Expand Your knowledge: Alternate Method for...Ch. 8.3 - Statistical Literacy For a binomial experiment...Ch. 8.3 - Statistical Literacy In order to use a normal...Ch. 8.3 - Critical Thinking Results of a poll of a random...Ch. 8.3 - Critical Thinking You want to conduct a survey to...Ch. 8.3 - Critical Thinking Jerry tested 30 laptop computers...Ch. 8.3 - Critical Thinking: Brain Teaser A requirement for...Ch. 8.3 - Basic Computation: Confidence Interval for p...Ch. 8.3 - Basic Computation: Confidence Interval for p...Ch. 8.3 - Basic Computation: Sample Size What is the minimal...Ch. 8.3 - Basic Computation: Sample Size What is the minimal...Ch. 8.3 - Myers-Briggs: Actors Isabel Myers was a pioneer in...Ch. 8.3 - Myers-Briggs: Judges In a random sample of 519...Ch. 8.3 - Navajo Lifestyle: Traditional Hogans A random...Ch. 8.3 - Archaeology: Pottery Santa Fe black-on-white is a...Ch. 8.3 - Health Care: Colorado Physicians A random sample...Ch. 8.3 - Law Enforcement: Escaped Convicts Case studies...Ch. 8.3 - Fishing: Barbless Hooks In a combined study of...Ch. 8.3 - Focus Problem: Trick or Treat In a survey of a...Ch. 8.3 - Marketing: Customer Loyalty In a marketing survey,...Ch. 8.3 - Marketing: Bargain Hunters In a marketing survey,...Ch. 8.3 - Lifestyle: Smoking In a survey of 1000 large...Ch. 8.3 - Opinion Poll: Crime and Violence A NewYork...Ch. 8.3 - Medical: Blood Type A random sample of medical...Ch. 8.3 - Business: Phone Contact How hard is it to reach a...Ch. 8.3 - Campus Life: Coeds What percentage of your campus...Ch. 8.3 - Small Business: Bankruptcy The National Council of...Ch. 8.3 - Prob. 27PCh. 8.3 - Expand Your Knowledge: Plus Four Confidence...Ch. 8 - Statist Literacy In your own words, carefully...Ch. 8 - Critical Thinking Suppose you are told that a 95%...Ch. 8 - Critical Thinking If you have a 99% confidence...Ch. 8 - For Problems 8-12, categorize each problem...Ch. 8 - For Problems 8-12, categorize each problem...Ch. 8 - Prob. 6CRCh. 8 - For Problems 8-12, categorize each problem...Ch. 8 - Prob. 8CRCh. 8 - Telephone Interviews: Survey The National Study of...Ch. 8 - Prob. 10CRCh. 8 - Prob. 11CRCh. 8 - Prob. 12CRCh. 8 - Expand Your Knowledge: Two Confidence Intervals...Ch. 8 - Garrison Bay is a small hay in Washington stale. A...Ch. 8 - Examine Figure 8-7. Fall Back " (a) Of the 1024...Ch. 8 - Examine Figure 8.-8, "Coupons: Limited Use." (a)...Ch. 8 - In this chapter, we have studied confidence...Ch. 8 - Throughout Chapter 8. we have used the normal...Ch. 8 - When the results of a survey or a poll are...
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- - + ++ 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_forwardA 24-1 design has been used to investigate the effect of four factors on the resistivity of a silicon wafer. The data from this experiment are shown in Table 4. Table 4: Resistivity Experiment for Exercise 5 Run A B с D Resistivity 1 23 2 3 4 5 6 7 8 9 10 11 12 I+I+I+I+Oooo 0 0 ||++TI++o000 33.2 4.6 31.2 9.6 40.6 162.4 39.4 158.6 63.4 62.6 58.7 0 0 60.9 3 (a) Estimate the factor effects. Plot the effect estimates on a normal probability scale. (b) Identify a tentative model for this process. Fit the model and test for curvature. (c) Plot the residuals from the model in part (b) versus the predicted resistivity. Is there any indication on this plot of model inadequacy? (d) Construct a normal probability plot of the residuals. Is there any reason to doubt the validity of the normality assumption?arrow_forward
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