Statistical Reasoning for Everyday Life Plus MyLab Statistics with Pearson eText -- 18 Week Access Card Package (5th Edition)
5th Edition
ISBN: 9780135990278
Author: Bennett, Jeffrey O., Briggs, William L., Triola, Mario F.
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Textbook Question
Chapter 3, Problem 4CRE
Pie Chart for Sports Equipment. USA Today reported these annual amounts spent in the United States for different categories of sports equipment: fishing ($2.0 billion); hunting ($3.1 billion); camping ($1.7 billion); golf ($2.5 billion). Construct a pie chart depicting these data.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
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…
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…
Chapter 3 Solutions
Statistical Reasoning for Everyday Life Plus MyLab Statistics with Pearson eText -- 18 Week Access Card Package (5th Edition)
Ch. 3.1 - Frequency Table. What is a frequency table? How...Ch. 3.1 - Relative Frequency. What do we mean by relative...Ch. 3.1 - Cumulative Frequency. What do we mean by...Ch. 3.1 - Binning. What is the purpose of binning? Give an...Ch. 3.1 - Does It Make Sense? For Exercises 58, determine...Ch. 3.1 - Does It Make Sense? For Exercises 58, determine...Ch. 3.1 - Does It Make Sense? For Exercises 58, determine...Ch. 3.1 - Does It Make Sense? For Exercises 58, determine...Ch. 3.1 - Pulse Rates of Females. In Exercises 912, refer to...Ch. 3.1 - Pulse Rates of Females. In Exercises 912, refer to...
Ch. 3.1 - Pulse Rates of Females. In Exercises 912, refer to...Ch. 3.1 - Pulse Rates of Females. In Exercises 912, refer to...Ch. 3.1 - Birth Days. Births at a hospital in New York State...Ch. 3.1 - Clinical Trial. As part of a clinical trial, the...Ch. 3.1 - Train Derailments. An analysis of 50 train...Ch. 3.1 - Analysis of Last Digits. Weights of respondents...Ch. 3.1 - Academy Award-Winning Male Actors. The following...Ch. 3.1 - Body Temperatures. The following data show the...Ch. 3.1 - Loaded Die. An experiment was conducted in which a...Ch. 3.1 - Interpreting Family Data. Consider the following...Ch. 3.1 - Computer Keyboards. The traditional keyboard...Ch. 3.1 - Double Binning. The students in a statistics class...Ch. 3.2 - Distribution Graph. What is a distribution of...Ch. 3.2 - Qualitative Data. Which types of graph described...Ch. 3.2 - Yearly Data. Which type of graph described in this...Ch. 3.2 - Histogram and Stemplot. Assume that a data set is...Ch. 3.2 - Prob. 5ECh. 3.2 - Does It Make Sense? For Exercises 58, determine...Ch. 3.2 - Does It Make Sense? For Exercises 58, determine...Ch. 3.2 - Does It Make Sense? For Exercises 58, determine...Ch. 3.2 - Histogram. Children living near a smelter in Texas...Ch. 3.2 - Understanding Data. Suppose you have a list of...Ch. 3.2 - Most Appropriate Display. Exercises 1114 describe...Ch. 3.2 - Most Appropriate Display. Exercises 1114 describe...Ch. 3.2 - Most Appropriate Display. Exercises 1114 describe...Ch. 3.2 - Most Appropriate Display. Exercises 1114 describe...Ch. 3.2 - Academy Award-Winning Male Actors. Exercise 17 in...Ch. 3.2 - Body Temperatures. Exercise 18 in Section 3.1...Ch. 3.2 - Job Hunting. A survey was conducted to determine...Ch. 3.2 - Job Hunting. Refer to the data given in Exercise...Ch. 3.2 - Prob. 19ECh. 3.2 - Job Application Mistakes Construct a Pareto chart...Ch. 3.2 - Dotplot. Refer to the QWERTY data in Exercise 21...Ch. 3.2 - Dotplot. Refer to the Dvorak data in Exercise 21...Ch. 3.2 - Stemplot. Construct a stemplot of these test...Ch. 3.2 - Stemplot. Listed below are the lengths (in...Ch. 3.2 - DJIA. Listed below (in order by row) are annual...Ch. 3.2 - Home Runs. Listed below (in order by row) are the...Ch. 3.3 - Multiple Data. Briefly describe how each of the...Ch. 3.3 - Prob. 2ECh. 3.3 - Prob. 3ECh. 3.3 - Prob. 4ECh. 3.3 - Does It Make Sense? For Exercises 58, determine...Ch. 3.3 - Does It Make Sense? For Exercises 58, determine...Ch. 3.3 - Does It Make Sense? For Exercises 58, determine...Ch. 3.3 - Does It Make Sense? For Exercises 58, determine...Ch. 3.3 - Public and Private Colleges. The stack plot in...Ch. 3.3 - Home Prices by Region. The graph in Figure 3.21...Ch. 3.3 - Gender and Salary. Consider the display in Figure...Ch. 3.3 - Marriage and Divorce Rates. The graph in Figure...Ch. 3.3 - Prob. 13ECh. 3.3 - College Degrees. The stack plot in Figure 3.25...Ch. 3.3 - Contour Map. For Exercises 17 and 18, refer to the...Ch. 3.3 - Prob. 18ECh. 3.3 - Prob. 19ECh. 3.3 - Prob. 20ECh. 3.3 - Infographic. For Exercises 21 and 22, refer to...Ch. 3.3 - Infographic. For Exercises 21 and 22, refer to...Ch. 3.3 - Creating Graphics. Exercises 2326 give tables of...Ch. 3.3 - Creating Graphics. Exercises 2326 give tables of...Ch. 3.3 - Firearms Fatalities. The following table...Ch. 3.3 - Prob. 26ECh. 3.4 - Perceptual Distortion. Use a ruler to measure the...Ch. 3.4 - Prob. 2ECh. 3.4 - Prob. 3ECh. 3.4 - Prob. 4ECh. 3.4 - Does It Make Sense? For Exercises 58, determine...Ch. 3.4 - Does It Make Sense? For Exercises 58, determine...Ch. 3.4 - Does It Make Sense? For Exercises 58, determine...Ch. 3.4 - Does It Make Sense? For Exercises 58, determine...Ch. 3.4 - Exaggerating a Difference. Weekly instruction time...Ch. 3.4 - Graph of Sounds. In a survey conducted by Kelton...Ch. 3.4 - Graph Dimensions. A newspaper used images of...Ch. 3.4 - Prob. 12ECh. 3.4 - Prob. 13ECh. 3.4 - DJIA. Figure 3.36 on the next page depicts the...Ch. 3.4 - Prob. 15ECh. 3.4 - Prob. 16ECh. 3.4 - Prob. 17ECh. 3.4 - Moores Law. In 1965, Intel cofounder Gordon Moore...Ch. 3.4 - Prob. 19ECh. 3.4 - Prob. 20ECh. 3.4 - Constant Dollars. The graph in Figure 3.41 shows...Ch. 3.4 - Prob. 22ECh. 3 - Listed below are measured weights (in pounds) of...Ch. 3 - Listed below are measured weights (in pounds) of...Ch. 3 - Listed below are measured weights (in pounds) of...Ch. 3 - Pie Chart for Sports Equipment. USA Today reported...Ch. 3 - Pareto Chart for Sports Equipment. Construct a...Ch. 3 - Bar Chart. Figure 3.43 shows the numbers of U.S....Ch. 3 - As a quality control manager at Ford Motor...Ch. 3 - As a quality control manager at Ford, you monitor...Ch. 3 - A stemplot is created with the braking distances...Ch. 3 - A dotplot of braking distances (in feet) of cars...Ch. 3 - The first category in a frequency table is 90100,...Ch. 3 - The first category in a relative frequency table...Ch. 3 - The third category in a frequency table has a...Ch. 3 - Prob. 8CQCh. 3 - When constructing a graph of the same categorical...Ch. 3 - Body Temperatures Listed below are body...Ch. 3 - Why are pictographs generally poor for depicting...Ch. 3 - Note that this graph plots six variables: two...Ch. 3 - Prob. 2.2FCh. 3 - Prob. 2.3F
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- 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
- A 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_forwardStem1: 1,4 Stem 2: 2,4,8 Stem3: 2,4 Stem4: 0,1,6,8 Stem5: 0,1,2,3,9 Stem 6: 2,2 What’s the Min,Q1, Med,Q3,Max?arrow_forwardAre the t-statistics here greater than 1.96? What do you conclude? colgPA= 1.39+0.412 hsGPA (.33) (0.094) Find the P valuearrow_forward
- A poll before the elections showed that in a given sample 79% of people vote for candidate C. How many people should be interviewed so that the pollsters can be 99% sure that from 75% to 83% of the population will vote for candidate C? Round your answer to the whole number.arrow_forwardSuppose a random sample of 459 married couples found that 307 had two or more personality preferences in common. In another random sample of 471 married couples, it was found that only 31 had no preferences in common. Let p1 be the population proportion of all married couples who have two or more personality preferences in common. Let p2 be the population proportion of all married couples who have no personality preferences in common. Find a95% confidence interval for . Round your answer to three decimal places.arrow_forwardA history teacher interviewed a random sample of 80 students about their preferences in learning activities outside of school and whether they are considering watching a historical movie at the cinema. 69 answered that they would like to go to the cinema. Let p represent the proportion of students who want to watch a historical movie. Determine the maximal margin of error. Use α = 0.05. Round your answer to three decimal places. arrow_forward
- A random sample of medical files is used to estimate the proportion p of all people who have blood type B. If you have no preliminary estimate for p, how many medical files should you include in a random sample in order to be 99% sure that the point estimate will be within a distance of 0.07 from p? Round your answer to the next higher whole number.arrow_forwardA clinical study is designed to assess the average length of hospital stay of patients who underwent surgery. A preliminary study of a random sample of 70 surgery patients’ records showed that the standard deviation of the lengths of stay of all surgery patients is 7.5 days. How large should a sample to estimate the desired mean to within 1 day at 95% confidence? Round your answer to the whole number.arrow_forwardA clinical study is designed to assess the average length of hospital stay of patients who underwent surgery. A preliminary study of a random sample of 70 surgery patients’ records showed that the standard deviation of the lengths of stay of all surgery patients is 7.5 days. How large should a sample to estimate the desired mean to within 1 day at 95% confidence? Round your answer to the whole number.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Holt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGAL
Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
Algebra: Structure And Method, Book 1AlgebraISBN:9780395977224Author:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. ColePublisher:McDougal Littell
Holt Mcdougal Larson Pre-algebra: Student Edition...
Algebra
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Algebra: Structure And Method, Book 1
Algebra
ISBN:9780395977224
Author:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Publisher:McDougal Littell
Correlation Vs Regression: Difference Between them with definition & Comparison Chart; Author: Key Differences;https://www.youtube.com/watch?v=Ou2QGSJVd0U;License: Standard YouTube License, CC-BY
Correlation and Regression: Concepts with Illustrative examples; Author: LEARN & APPLY : Lean and Six Sigma;https://www.youtube.com/watch?v=xTpHD5WLuoA;License: Standard YouTube License, CC-BY