Test Bank for Business Statistics, 4th Edition

Chapter 2: Visualizing and Describing Categorical Data – Quiz A Name_____________________________________ A large national retailer of electronics conducted a survey to determine consumer preferences for various brands of point and shoot digital cameras. The table summarizes responses by brand and gender. Cannon Power Shot Nikon Cool Pix Sony Cyber Shot Panasonic Lumix Fujifilm Finepix Olympus S/V Other Brands Total Female 73 49 58 35 45 37 86 383 Male 59 47 33 30 28 41 67 305 Total 132 96 91 65 73 78 153 688 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 1. Identify the variables and tell whether each is categorical or quantitative. 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 2. Find each of the following percentages. a. What percent of the responses were males who prefer Nikon? b. What percent of the male responses prefer Olympus? c. What percent of the consumers who choose Nikon were females? 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 3. What is the marginal distribution of brands? 2.4 Determine if displays of data are appropriate. 4. Prepare an appropriate chart to display the marginal distribution of brands. 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 5. Write a sentence or two about the conditional relative frequency distribution of the brands among female respondents. 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 6. Consider the following side by side bar chart for the data above: 2-1 Copyright © 2019 Pearson Education, Inc. 2-2 Chapter 2 Visualizing and Describing Categorical Data Does the chart indicate that brand preference is independent of gender? Explain. Copyright © 2019 Pearson Education, Inc. Quiz A 2-3 Chapter 2: Visualizing and Describing Categorical Data – Quiz A – Key A large national retailer of electronics conducted a survey to determine consumer preferences for various brands of digital cameras. The table summarizes responses by brand and gender. Cannon Power Shot Nikon Cool Pix Sony Cyber Shot Panasonic Lumix Fujifilm Finepix Olympus S/V Other Brands Total Female 73 49 58 35 45 37 86 383 Male 59 47 33 30 28 41 67 305 Total 132 96 91 65 73 78 153 688 1. Identify the variables and tell whether each is categorical or quantitative. Gender and Brand; both categorical. 2. Find each of the following percentages. a. What percent of the responses were males who prefer Nikon? 6.8% (47/688) b. What percent of the male responses prefer Olympus? 13.4% (41/305) c. What percent of the consumers who choose Nikon were females? 51.0% (49/96) 3. What is the marginal distribution of brands? 132 for Cannon Power Shot, 96 for Nikon Cool Pix, 91 for Sony Cyber Shot, 65 for Panasonic Lumix, 73 for Fujifilm Finepix, 78 for Olympus S/V and 153 for other brands. 4. Prepare an appropriate chart to display the marginal distribution of brands. Either a bar chart (shown below) or a pie chart is appropriate. Copyright © 2019 Pearson Education, Inc. 2-4 Chapter 2 Visualizing and Describing Categorical Data 5. Write a sentence or two about the conditional relative frequency distribution of the brands among female respondents. Among females, 19.1% prefer Cannon, 12.8% prefer Nikon, 15.1% prefer Sony, 9.1% prefer Panasonic, 11.7% prefer Fujifilm, and 9.7% prefer Olympus. The remaining 22.5% of females preferred other brands. 6. Consider the following side by side bar chart for the data above: Does the chart indicate that brand preference is independent of gender? Explain. Brand preference appears to be independent of gender for about half of the brands. The other half of the brand preferences seem to have preference based on gender. These data provide little evidence of a difference in digital camera choice based on gender. Copyright © 2019 Pearson Education, Inc. Quiz B 2-5 Chapter 2: Visualizing and Describing Categorical Data – Quiz B Name_____________________________________ A full service brokerage firm gathered information on how their clients were investing for retirement. Based on age, clients were categorized according to where the largest percentage of their retirement portfolio was invested. The table below summarized the data. Age 50 or Younger Over Age 50 Total Mutual Funds 30 34 64 Stocks 37 45 82 Bonds 19 23 42 Total 86 102 188 2. 3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 1. Identify the variables and tell whether each is categorical or quantitative. 2. 3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 2. Find each of the following percentages. a. What percent of the clients are over age 50 who invests in mutual funds? b. What percent of clients over age 50 invest in mutual funds? c. What percent of the mutual fund investors are over age 50? 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 3. What is the marginal distribution of age? 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 4. Prepare an appropriate chart to display the marginal distribution of age. 2. 3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 5. Write a sentence or two about the conditional relative frequency distribution of mode of investment for clients age 50 or younger. Copyright © 2019 Pearson Education, Inc. 2-6 Chapter 2 Visualizing and Describing Categorical Data 2. 3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 60 50 Data 40 30 20 10 0 Investment Younger Older Mutual Funds Younger Older Stocks Younger Older Bonds Percent within levels of Investment. 6. Consider the following side by side bar chart for the data above: Does the chart indicate that mode of investment is independent of age? Explain. 2.6 Simpson’s Paradox. 7. A newspaper examined the town’s two hospitals and found that over the last six months at Mercy Hospital 79% of the patients survived while at County Hospital 90% survived. The table below summarizes the findings. Mercy Hospital City Hospital Lived 790 900 Died 210 100 Total 1000 1000 % who lived 79.0% 90.0% On closer investigation, it was observed that there was a difference in survival between patients who were admitted in poor condition or worse compared with patients admitted in fair condition or better. The following tables were created: Copyright © 2019 Pearson Education, Inc. Quiz B 2-7 Patients admitted in poor condition or worse: Lived Died Mercy Hospital 210 200 City Hospital 40 70 Total 410 110 % who lived Patients admitted in fair condition or better: Lived Died Mercy Hospital 580 10 City Hospital 860 30 Total 590 890 % who lived a) Fill in the four blanks in the two tables above with percentages. b) Compare the percentages in the first table with those in the next two tables. Do you observe anything unusual? c) Which hospital would you choose and why? Copyright © 2019 Pearson Education, Inc. 2-8 Chapter 2 Visualizing and Describing Categorical Data Chapter 2: Visualizing and Describing Categorical Data – Quiz B – Key A full service brokerage firm gathered information on how their clients were investing for retirement. Based on age, clients were categorized according to where the largest percentage of their retirement portfolio was invested. The table below summarized the data. Age 50 or Younger Over Age 50 Total Mutual Funds 30 34 64 Stocks 37 45 82 Bonds 19 23 42 Total 86 102 188 1. Identify the variables and tell whether each is categorical or quantitative. Mode of investment and age; mode of investment is categorical; age is a quantitative variable. However, in this case investors are grouped according to age therefore the “age category” is relevant and this is categorical. 2. Find each of the following percentages. a. What percent of the clients are over age 50 who invests in mutual funds? 18.1% (34/188) b. What percent of clients over age 50 invest in mutual funds? 33.3% (34/102) c. What percent of the mutual fund investors are over age 50? 53.1% (34/64) 3. What is the marginal distribution of age? 86 clients are age 50 or younger and 102 are over age 50. 4. Prepare an appropriate chart to display the marginal distribution of age. Either a bar chart (shown below) or a pie chart is appropriate. Copyright © 2019 Pearson Education, Inc. Quiz B 2-9 Chart of Number of Clients 100 Number of Clients 80 60 40 20 0 50 or Younger Over 50 Age 5. Write a sentence or two about the conditional relative frequency distribution of mode of investment for clients age 50 or younger. More clients (43%) age 50 or younger invested their retirement savings primarily in stocks rather than in any other mode of investment, 35% invested in mutual funds while only 22% invested in bonds. Copyright © 2019 Pearson Education, Inc. 2-10 Chapter 2 Visualizing and Describing Categorical Data 6. Consider the following side by side bar chart for the data above: Chart of Younger, Older 60 50 Data 40 30 20 10 0 Investment Younger Older Mutual Funds Younger Older Stocks Younger Older Bonds Percent within levels of Investment. Does the chart indicate that mode of investment is independent of age? Explain. The way clients invest for retirement does seem to be independent of age. These data provide little indication of a difference in mode of investing for retirement based on clients’ ages at this firm. 7. A newspaper examined the town’s two hospitals and found that over the last six months at Mercy Hospital 79% of the patients survived while at County Hospital 90% survived. The table below summarizes the findings. Mercy Hospital City Hospital Lived 790 900 Died 210 100 Total 1000 1000 % who lived 79.0% 90.0% On closer investigation, it was observed that there was a difference in survival between patients who were admitted in poor condition or worse compared with patients admitted in fair condition or better. The following tables were created: Patients admitted in poor condition or worse: Lived Died Mercy Hospital 210 200 City Hospital 40 70 Total 410 110 Copyright © 2019 Pearson Education, Inc. % who lived 51.2% 36.4% Quiz B 2-11 Patients admitted in fair condition or better: Lived Died Mercy Hospital 580 10 City Hospital 860 30 Total 590 890 % who lived 98.3% 96.6% a) Fill in the four blanks in the two tables above with percentages. b) Compare the percentages in the first table with those in the next two tables. Do you observe anything unusual? Those who were admitted in fair condition or better have a very high rate of survival. Mercy Hospital has an over 50% of survival for those admitted in poor condition or worse whereas in the summary table, Mercy Hospital had a lower rate of survival. c) Which hospital would you choose and why? It would be best to choose Mercy Hospital because it has the higher rate of survival for both conditions of admitted patients. Copyright © 2019 Pearson Education, Inc. 2-12 Chapter 2 Visualizing and Describing Categorical Data Chapter 2: Visualizing and Describing Categorical Data– Quiz C – Multiple Choice Name_____________________________________ 2.1 Summarizing a Categorical Variable. 1. A automobile marketing firm conducts a study to see what types of cars people owned before buying an American car. The results are shown below. Previous Ownership American Japanese Korean German Other Total Frequency 760 375 72 37 24 1268 The relative frequency of those who owned Japanese cars previously who now bought American cars is _______. A. 59.9 % B. 29.6% C. 5.7% D. 14.9% E. 2.9% 2. 3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 2. A large national retailer of electronics conducted a survey to determine consumer preferences for various brands of digital cameras and the data are summarized in the table shown below. Cannon Power Shot Nikon Cool Pix Sony Cyber Shot Panasonic Lumix Fujifilm Finepix Olympus S/V Other Brands Total Female 73 49 58 35 45 37 86 383 Male 59 47 33 30 28 41 67 305 Total 132 96 91 65 73 78 153 688 The percentage of consumers who are male and prefer Fujifilm is ___________ . A. 44.3 % (305/688) B. 10.6% (73/688) C. 38.4% (28/73) D. 56.2% (41/73) E. 4.1% (28/688) Copyright © 2019 Pearson Education, Inc. Quiz C 2-13 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 3. A large national retailer of electronics conducted a survey to determine consumer preferences for various brands of digital cameras and the data are summarized in the table shown below. Cannon Power Shot Nikon Cool Pix Sony Cyber Shot Panasonic Lumix Fujifilm Finepix Olympus S/V Other Brands Total Female 73 49 58 35 45 37 86 383 Male 59 47 33 30 28 41 67 305 Total 132 96 91 65 73 78 153 688 Of the consumers who are male, the percentage who prefer Sony is ___________ . A. 44.3 % (305/688) B. 10.8% (33/305) C. 36.3% (33/91) D. 4.8% (33/688) E. 13.2% (91/688) 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 4. A large national retailer of electronics conducted a survey to determine consumer preferences for various brands of digital cameras and the data are summarized in the table shown below. Of the consumers who prefer Olympus, what percentage is female? Cannon Power Shot Nikon Cool Pix Sony Cyber Shot Panasonic Lumix Fujifilm Finepix Olympus S/V Other Brands Total Female 73 49 58 35 45 37 86 383 Male 59 47 33 30 28 41 67 305 A. 47.4 % (37/78) B. 6.0% (41/688) C. 52.6% (41/78) D. 11.7% (45/383) E. 11.3% (78/688) Copyright © 2019 Pearson Education, Inc. Total 132 96 91 65 73 78 153 688 2-14 Chapter 2 Visualizing and Describing Categorical Data 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 5. Based on the side-by-side bar chart summarizing consumer preferences for various brands of digital cameras by gender, which of the following statement(s) are true? A. It appears that camera preference and gender are at least somewhat related. B. If Other Brands are ignored, it appears that camera preference and gender are independent. C. If Other Brands are ignored, it is not obvious that camera preference and gender are independent. D. More males than females prefer Cannon. E. More females than males prefer Sony. Copyright © 2019 Pearson Education, Inc. Quiz C 2-15 2. 3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 6. The following is a bar chart summarizing consumer preferences for various brands of digital cameras. This bar chart shows _____________________ . A. the marginal distribution of brands B. the conditional distribution of brands C. the contingency distribution of brands D. the distribution for a quantitative variable E. none of the above. 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 7. A company interested in the health of its employees started a health program including monitoring blood pressure. Based on age, employees were categorized according to ranges of blood pressure by age intervals. Data are shown in the table below. BP Low Normal High Total Under 30 27 48 23 98 Age 30-49 38 90 59 187 Over 50 31 92 72 195 Total 96 230 154 480 The percentage of employees who are over age 50 and have high blood pressure is ___________. A. 46.8% (72/154) B. 32.1% (154/480) C. 31.6% (59/187) D. 36.9% (72/195) E. 15.0% (72/480) Copyright © 2019 Pearson Education, Inc. 2-16 Chapter 2 Visualizing and Describing Categorical Data 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 8. A company interested in the health of its employees started a health program including monitoring blood pressure. Based on age, employees were categorized according to ranges of blood pressure by age intervals. Data are shown in the table below. BP Low Normal High Total Under 30 27 48 23 98 Age 30-49 38 90 59 187 Over 50 31 92 72 195 Total 96 230 154 480 Of all employees, the percentage who are over 50 and have high blood pressure is ___________ . A. 46.8% (72/154) B. 15.0% (72/480) C. 31.6% (59/187) D. 36.9% (72/195) E. 47.2% (92/195) 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 9. A company interested in the health of its employees started a health program including monitoring blood pressure. Based on age, employees were categorized according to ranges of blood pressure by age intervals. Data are shown in the table below. BP Low Normal High Total Under 30 27 48 23 98 Age 30-49 38 90 59 187 Over 50 31 92 72 195 Of all employees, the percentage of those under 50 years old is ___________ . A. 17.1% (82/480) B. 40.6% (195/480) C. 13.5% (65/480) D. 36.9% (72/195) E. 49.4% (285/480) Copyright © 2019 Pearson Education, Inc. Total 96 230 154 480 Quiz C 2-17 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 10. A company interested in the health of its employees started a health program including monitoring blood pressure. Based on age, employees were categorized according to ranges of blood pressure by age intervals. Data are shown in the table below. BP Low Normal High Total Under 30 27 48 23 98 Age 30-49 38 90 59 187 Over 50 31 92 72 195 Total 96 230 154 480 The percentage of employees with normal or low blood pressure is ___________ . A. 67.9% (326/480) B. 47.9% (230/480) C. 41.7% (96/230) D. 80.0% (384/480) E. 20.0% (96/480) 2.4 Segmented Bar Charts and Mosaic Plots. 11. Here is a stacked bar chart for data collected about employee blood pressure. This chart shows _____________________ . A. the distribution of a quantitative variable B. the contingency distribution of blood pressure type C. the conditional distribution of blood pressure type D. the marginal distribution of blood pressure type E. the joint distribution of blood pressure type Copyright © 2019 Pearson Education, Inc. 2-18 Chapter 2 Visualizing and Describing Categorical Data 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 12. A consulting firm examined the profit of two grocery stores and found that over the last year at Grocery Store A 66.7% of the months showed profit while at Grocery Store B 83.3% showed profit. The table below summarizes the findings. Grocery A Grocery B Months Profit 8 10 Months Loss Total % months profit 4 2 12 12 66.7% 83.3% On closer investigation, it was observed that there was a difference in profit between stores that served wealthier neighborhoods versus less wealthy. The following tables were created: Grocery stores serving wealthy neighborhoods: Months Months Loss Profit Grocery A 5 3 Grocery B 5 2 Grocery stores serving less wealthy neighborhoods: Months Months Loss Profit Grocery A 2 2 Grocery B 1 1 Total % months profit 8 10 62.5% 50.0% Total % months profit 4 2 50.0% 50.0% What can be assumed about the profit of grocery stores? A. Grocery Store B has more consistent profit overall. B. It is clear that less wealthy neighborhoods will not yield these grocery store profits. C. It is unclear how to predict the profit of these grocery stores based on the wealth of neighborhoods. D. Grocery Store A showed less profit overall but showed greater profit in wealthier neighborhoods. E. There is no difference in profit overall with grocery stores in either wealthier versus less wealthy neighborhoods. Copyright © 2019 Pearson Education, Inc. Quiz C 2-19 Chapter 2: Visualizing and Describing Categorical Data – Quiz C – Key 1. B 2. E 3. B 4. A 5. A,C,E 6. A 7. D 8. B 9. E 10. A 11. C 12. D Copyright © 2019 Pearson Education, Inc. 2-20 Chapter 2 Visualizing and Describing Categorical Data Chapter 2: Visualizing and Describing Categorical Data– Quiz D – Multiple Choice Name_____________________________________ 2.1 Summarizing a Categorical Variable. 1. A restaurant uses comment cards to get feedback from its customers about newly added items to the menu. It recently introduced homemade organic veggie burgers. Customers who tried the new burger were asked if they would order it again. The data are summarized in the table below. What percentage of customers would definitely order the veggie burger again? Response Definitely would. Most likely would. Maybe Definitely would not. Frequency 10 40 12 3 A. 10% B. 15% C. 20% D. 40% E. 77% 2.1 Summarizing a Categorical Variable. 2. A restaurant uses comment cards to get feedback from its customers about newly added items to the menu. It recently introduced homemade organic veggie burgers. Customers who tried the new burger were asked if they would order it again. The data are summarized in the table below. What percentage of customers would most likely or definitely order the veggie burger again? Response Definitely would. Most likely would. Maybe Definitely would not. Frequency 10 40 12 3 A. 10% B. 15% C. 40% D. 50% E. 77% Copyright © 2019 Pearson Education, Inc. Quiz D 2-21 2.1 Summarizing a Categorical Variable. 3. A restaurant uses comment cards to get feedback from its customers about newly added items to the menu. It recently introduced homemade organic veggie burgers. Customers who tried the new burger were asked if they would order it again. Which of the following would be an appropriate method for displaying the data shown in the table? Response Definitely would. Most likely would. Maybe Definitely would not. Frequency 10 40 12 3 A. Contingency table. B. Segmented bar chart. C. Pie chart. D. Both A and B. E. Both B and C. 2.2 Displaying a Categorical Variable. 4. In May, 2010, the Pew Research Center for the People & the Press carried out a national survey to gauge opinion on the Arizona Immigration Law. Responses (Favor, Oppose, Don’t Know) were examined according to groups defined by political party affiliation (Democrat, Republican, Independent). Which of the following would be appropriate for displaying these data? A. Contingency table. B. Pie charts. C. Segmented bar chart. D. Side by side bar chart. E. All of the above. 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 5. A regional survey was carried out to gauge public opinion on the controversial Arizona Immigration Law (results shown below). How many respondents are Republican and favor the law? Response Favor Oppose Don’t Know Democrat 50 85 5 Republican 93 45 7 A. 93 B. 45 C. 145 D. 7 E. 85 Copyright © 2019 Pearson Education, Inc. Independent 35 60 20 2-22 Chapter 2 Visualizing and Describing Categorical Data 2.4 Segmented Bar Charts and Mosaic Plots. 6. A regional survey was carried out to gauge public opinion on the controversial Arizona Immigration Law. The results are displayed in the segmented bar chart below. Which of the following statements is true? Opinion of Arizona Immigration Law by Political Party Response Don’t Know Oppose Fav or 100 Data 80 60 40 20 0 Democrat Republican Independent Percent within variables. A. A greater percentage of Republicans oppose the law compared to Democrats. B. A greater percentage of Republicans oppose the law compared to Independents. C. Opinion about the law appears to be independent of political party affiliation. D. A greater percentage of Democrats oppose the law compared to Republicans. E. The segmented bar chart is not appropriate for these data. 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 7. A regional survey was carried out to gauge public opinion on the controversial Arizona Immigration Law. Based on the results displayed in the table below, what percent of respondents is Independent? Response Favor Oppose Don’t Know Democrat 50 85 5 Republican 93 45 7 A. 35% B. 9% C. 29% D. 45% E. 25% Copyright © 2019 Pearson Education, Inc. Independent 35 60 20 Quiz D 2-23 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables,. 8. A regional survey was carried out to gauge public opinion on the controversial Arizona Immigration Law (results shown below). What percent oppose the law? Response Favor Oppose Don’t Know Democrat 50 85 5 Republican 93 45 7 Independent 35 60 20 A. 48% B. 45% C. 32% D. 25% E. 61% 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables,. 9. A regional survey was carried out to gauge public opinion on the controversial Arizona Immigration Law (results shown below). Of respondents who are Democrat, what percent oppose the law? Response Favor Oppose Don’t Know Democrat 50 85 5 Republican 93 45 7 Independent 35 60 20 A. 13% B. 35% C. 22% D. 45% E. 61% 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 10. A regional survey was carried out to gauge public opinion on the controversial Arizona Immigration Law (results shown below). Of respondents who oppose the law, what percent is Democrat? Response Favor Oppose Don’t Know Democrat 50 85 5 Republican 93 45 7 A. 13% B. 35% C. 22% D. 45% E. 6 Copyright © 2019 Pearson Education, Inc. Independent 35 60 20 2-24 Chapter 2 Visualizing and Describing Categorical Data Chapter 2: Visualizing and Describing Categorical Data – Quiz D – Key 1. B 2. E 3. C 4. E 5. A 6. D 7. C 8. A 9. E 10. D Copyright © 2019 Pearson Education, Inc. Quiz E 2-25 Chapter 2: Visualizing and Describing Categorical Data– Quiz E – Multiple Choice Name_____________________________________ 2.1 Summarizing a Categorical Variable. 1. A clothing store uses comment cards to get feedback from its customers about newly added items. It recently introduced plus size fashion wear. Customers who purchased the items were asked to fill out an online comment survey giving 10% off the next purchase. The data are summarized in the table below. What percentage of customers were at least satisfied with the item(s) purchased (Satisfied or Very satisfied)? Response Very satisfied. Satisfied. Less than fully satisfied. Not satisfied. Frequency 15 30 12 4 A. 49.2% B. 73.8% C. 24.6% D. 26.2% E. 68.9% 2.1 Summarizing a Categorical Variable. 2. A clothing store uses comment cards to get feedback from its customers about newly added items. It recently introduced plus size fashion wear. Customers who purchased the items were asked to fill out an online comment survey giving 10% off the next purchase. The data are summarized in the table below. What percentage of customers would be less likely to purchase another item (Less or Not fully satisfied)? Response Very satisfied. Satisfied. Less than fully satisfied. Not satisfied. Frequency 15 30 12 4 A. 10% B. 15% C. 40% D. 50% E. 77% Copyright © 2019 Pearson Education, Inc. 2-26 Chapter 2 Visualizing and Describing Categorical Data 2.1 Summarizing a Categorical Variable. 3. A clothing store uses comment cards to get feedback from its customers about newly added items. It recently introduced plus size fashion wear. Customers who purchased the items were asked to fill out an online comment survey giving 10% off the next purchase. The data are summarized in the table below. Which of the following would be an appropriate method for displaying the data shown in the table? Response Very satisfied. Satisfied. Less than fully satisfied. Not satisfied. Frequency 15 30 12 4 A. Contingency table. B. Segmented bar chart. C. Pie chart. D. Both A and B. E. Both B and C. 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 4. Accenture, a consulting firm, conducted an online survey of 500 US consumers in September 2013. Based on their response to the question “What is your motive for shopping late in the season?” which of the following would be an appropriate method for displaying the data shown in the table? Response Too busy to shop earlier More time to save for gifts Better discounts available Part of the holiday tradition None of the above Male 115 50 65 15 120 Female 75 80 20 5 60 A. Contingency table. B. Pie charts. C. Segmented bar chart. D. Side by side bar chart. E. All of the above. Copyright © 2019 Pearson Education, Inc. Quiz E 2-27 2.4 Segmented Bar Charts and Mosaic Plots. 5. Accenture, a consulting firm, conducted an online survey of 500 US consumers from 2009 to 2013. The results are displayed in the segmented bar chart below. How many respondents in 2012 are at least somewhat likely to shop on “Black Friday”? A. 265 B. 275 C. 140 D. 230 E. 95 2.4 Segmented Bar Charts and Mosaic Plots. 6. Accenture, a consulting firm, conducted an online survey of 500 US consumers from 2009 to 2013. The results are displayed in the segmented bar chart below. Which of the following statement(s) is (are) true? A. A smaller percentage of shoppers over the past 5 years are undecided about shopping on “Black Friday”. B. In 2013, there was an increase in Very likely to shop on “Black Friday” over 2012. C. From 2011 to 2013, there was a decrease in Not at all likely to shop on “Black Friday”. D. A greater percentage of shoppers over the past 5 years are at least somewhat likely to shop on “Black Friday”. E. The segmented bar chart is not appropriate for these data. Copyright © 2019 Pearson Education, Inc. 2-28 Chapter 2 Visualizing and Describing Categorical Data 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 7. Accenture, a consulting firm, conducted an online survey of 500 US consumers from in 2013. Response Too busy to shop earlier More time to save for gifts Better discounts available Part of the holiday tradition None of the above Male 115 50 65 15 120 Female 75 80 20 5 60 What percentage of men were felt that better discounts were available on “Black Friday”? A. 26.5% B. 65% C. 20% D. 17.8% E. 5.5% Copyright © 2019 Pearson Education, Inc. Quiz E 2-29 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 8. Accenture, a consulting firm, conducted an online survey of 500 US consumers from in 2013. Response Too busy to shop earlier More time to save for gifts Better discounts available Part of the holiday tradition None of the above Male 115 50 65 15 120 Female 75 80 20 5 60 What percentage of those who thought that better discounts were available on “Black Friday” were female? A. 81.3% B. 33.3% C. 11.1% D. 47.2% E. 23.5% 2.4 Segmented Bar Charts and Mosaic Plots. 9. Accenture, a consulting firm, conducted an online survey of 500 US consumers in September 2013. Based on their response to the question “What is your motive for shopping late in the season?” which of the following would be appropriate method(s) for displaying the male only data shown in the table? Response Too busy to shop earlier More time to save for gifts Better discounts available Part of the holiday tradition None of the above Male 115 50 65 15 120 Female 75 80 20 5 60 A. Contingency table. B. Pie chart. C. Segmented bar chart. D. Side by side bar chart. E. All of the above. Copyright © 2019 Pearson Education, Inc. 2-30 Chapter 2 Visualizing and Describing Categorical Data 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables. 10. Accenture, a consulting firm, conducted an online survey of 500 US consumers in September, 2013. Response Too busy to shop earlier More time to save for gifts Better discounts available Part of the holiday tradition None of the above Male 115 50 65 15 120 Female 75 80 20 5 60 What percentage of consumers thought that shopping on “Black Friday” is part of the holiday tradition? A. 8.3% B. 33.3% C. 11.1% D. 12.5% E. 75.0% Copyright © 2019 Pearson Education, Inc. Quiz E 2-31 Chapter 2: Visualizing and Describing Categorical Data – Quiz E – Key 1. B 2. E 3. C 4. E 5. A 6. C,D 7. D 8. E 9. B,C 10. C Copyright © 2019 Pearson Education, Inc.