ELEM.STAT.-MYSTATLAB-ACCESS+EBOOK
13th Edition
ISBN: 9781323902653
Author: Triola
Publisher: PEARSON
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Chapter 8.3, Problem 32BB
Interpreting Power For the sample data in Example 1 “Adult Sleep” from this section. Minitab and StatCrunch show that the hypothesis test has power of 0.4943 of supporting the claim that μ < 7 hours of sleep when the actual population
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What were the average sales for the four weeks prior to the experiment?
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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).
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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
ELEM.STAT.-MYSTATLAB-ACCESS+EBOOK
Ch. 8.1 - Vitamin C and Aspirin A bottle contains a label...Ch. 8.1 - Estimates and Hypothesis Tests Data Set 3 Body...Ch. 8.1 - Mean Height of Men A formal hypothesis test is to...Ch. 8.1 - Interpreting P-value The Ericsson method is one of...Ch. 8.1 - Identifying H0 and H1. In Exercises 58, do the...Ch. 8.1 - Identifying H0 and H1. In Exercises 58, do the...Ch. 8.1 - Identifying H0 and H1. In Exercises 58, do the...Ch. 8.1 - Identifying H0 and H1. In Exercises 58, do the...Ch. 8.1 - Conclusions. In Exercises 912, refer to the...Ch. 8.1 - Conclusions. In Exercises 912, refer to the...
Ch. 8.1 - Conclusions. In Exercises 912, refer to the...Ch. 8.1 - Conclusions. In Exercises 912, refer to the...Ch. 8.1 - Test Statistics. In Exercises 1316, refer to the...Ch. 8.1 - Test Statistics. In Exercises 1316, refer to the...Ch. 8.1 - Test Statistics. In Exercises 1316, refer to the...Ch. 8.1 - Test Statistics. In Exercises 1316, refer to the...Ch. 8.1 - P-Values. In Exercises 1720, do the following: a....Ch. 8.1 - P-Values. In Exercises 1720, do the following: a....Ch. 8.1 - P-Values. In Exercises 1720, do the following: a....Ch. 8.1 - P-Values. In Exercises 1720, do the following: a....Ch. 8.1 - Critical Values. In Exercises 2124, refer to the...Ch. 8.1 - Critical Values. In Exercises 2124, refer to the...Ch. 8.1 - Critical Values. In Exercises 2124, refer to the...Ch. 8.1 - Critical Values. In Exercises 2124, refer to the...Ch. 8.1 - Final Conclusions. In Exercises 2528, use a...Ch. 8.1 - Final Conclusions. In Exercises 2528, use a...Ch. 8.1 - Final Conclusions. In Exercises 2528, use a...Ch. 8.1 - Final Conclusions. In Exercises 2528, use a...Ch. 8.1 - Type I and Type II Errors. In Exercises 2932,...Ch. 8.1 - Type I and Type II Errors. In Exercises 2932,...Ch. 8.1 - Type I and Type II Errors. In Exercises 2932,...Ch. 8.1 - Type I and Type II Errors. In Exercises 2932,...Ch. 8.1 - Interpreting Power Chantix (varenicline) tablets...Ch. 8.1 - Calculating Power Consider a hypothesis test of...Ch. 8.1 - Finding Sample Size to Achieve Power Researchers...Ch. 8.2 - In Exercises 14, use these results from a USA...Ch. 8.2 - In Exercises 14, use these results from a USA...Ch. 8.2 - Prob. 3BSCCh. 8.2 - In Exercises 14, use these results from a USA...Ch. 8.2 - Using Technology. In Exercises 58, identify the...Ch. 8.2 - Using Technology. In Exercises 58, identify the...Ch. 8.2 - Using Technology. In Exercises 58, identify the...Ch. 8.2 - Using Technology. In Exercises 58, identify the...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Testing Claims About Proportions. In Exercises...Ch. 8.2 - Exact Method For each of the three different...Ch. 8.2 - Using Confidence Intervals to Test Hypotheses When...Ch. 8.2 - Power For a hypothesis test with a specified...Ch. 8.3 - Video Games: Checking Requirements Twelve...Ch. 8.3 - df If we are using the sample data from Exercise 1...Ch. 8.3 - t Test Exercise 2 refers to a t test. What is a t...Ch. 8.3 - Confidence Interval Assume that we will use the...Ch. 8.3 - Finding P-values. In Exercises 5-8, either use...Ch. 8.3 - Finding P-values. In Exercises 5-8, either use...Ch. 8.3 - Finding P-values. In Exercises 5-8, either use...Ch. 8.3 - Finding P-values. In Exercises 5-8, either use...Ch. 8.3 - Technology. In Exercises 9-12, test the given...Ch. 8.3 - Technology. In Exercises 9-12, test the given...Ch. 8.3 - Technology. In Exercises 9-12, test the given...Ch. 8.3 - Technology. In Exercises 9-12, test the given...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Testing Hypotheses. In Exercises 13-24, assume...Ch. 8.3 - Large Data Sets from Appendix B. In Exercises...Ch. 8.3 - Large Data Sets from Appendix B. In Exercises...Ch. 8.3 - Large Data Sets from Appendix B. In Exercises...Ch. 8.3 - Large Data Sets from Appendix B. In Exercises...Ch. 8.3 - Hypothesis Test with Known How do the results...Ch. 8.3 - Hypothesis Test with Known How do the results...Ch. 8.3 - Finding Critical t Values When finding critical...Ch. 8.3 - Interpreting Power For the sample data in Example...Ch. 8.4 - Cans of Coke Data Set 26 Cola Weights and Volumes...Ch. 8.4 - Cans of Coke Use the data and the claim given in...Ch. 8.4 - Cans of Coke For the sample data from Exercise 1,...Ch. 8.4 - Cans of Coke: Confidence Interval If we use the...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Body Temperature Example 5 in Section 8-3 involved...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Testing Claims About Variation. In Exercises 5-16,...Ch. 8.4 - Large Data Sets from Appendix B. In Exercises 17...Ch. 8.4 - Large Data Sets from Appendix B. In Exercises 17...Ch. 8.4 - Finding Critical Values of 2 For large numbers of...Ch. 8.4 - Finding Critical Values of 2 Repeat Exercise 19...Ch. 8 - Distributions Using the methods of this chapter,...Ch. 8 - Tails Determine whether the given claim involves a...Ch. 8 - Instagram Poll In a Pew Research Center poll of...Ch. 8 - P-Value Find the P-value in a test of the claim...Ch. 8 - Conclusions True or false: In hypothesis testing,...Ch. 8 - Conclusions True or false: The conclusion of fail...Ch. 8 - Uncertainty True or false: If correct methods of...Ch. 8 - Chi-Square Test In a test of the claim that = 15...Ch. 8 - Robust Explain what is meant by the statements...Ch. 8 - Equivalent Methods Which of the following...Ch. 8 - True/False Characterize each of the following...Ch. 8 - Politics A county clerk in Essex County, New...Ch. 8 - Prob. 3RECh. 8 - Red Blood Cell Count A simple random sample of 40...Ch. 8 - Perception and Reality In a presidential election,...Ch. 8 - BMI for Miss America A claimed trend of thinner...Ch. 8 - BMI for Miss America Use the same BMI indexes...Ch. 8 - Type I Error and Type II Error a. In general, what...Ch. 8 - Lightning Deaths Listed below are the numbers of...Ch. 8 - Lightning Deaths Refer to the sample data in...Ch. 8 - Lightning Deaths Listed below are the numbers of...Ch. 8 - Lightning Deaths Listed below are the numbers of...Ch. 8 - Lightning Deaths The accompanying bar chart shows...Ch. 8 - Lightning Deaths The graph in Cumulative Review...Ch. 8 - Lightning Deaths The graph in Cumulative Review...Ch. 8 - Lightning Deaths Based on the results given in...Ch. 8 - Critical Thinking: Testing the Salk Vaccine The...
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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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