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Cable TV subscriptions and “cord cutters.” Has the increasing popularity of smartphones and video streaming over the Internet affected cable and satellite TV subscriptions? This was one of the questions of interest in a recent Pew Research Center survey (December 2015). Telephone (both landline and cell phone) interviews were conducted on a representative sample of 2,001 adults living in the United States. For this sample, 1,521 adults reported that they currently receive cable or satellite TV service at home, 180 revealed that they have never subscribed to cable/satellite TV service at home, and the remainder (300 adults) admitted that they are “cord cutters,” i.e., they canceled the cable/satellite TV service. The results are summarized in the Minitab pie chart shown.

a. According to the pie chart, what proportion of the adults in the sample currently have a cable/satellite TV subscription at home? Verify the accuracy of this proportion using the survey results.

b. Now consider only the 1,821 adults in the sample that have at one time or another subscribed to cable/satellite TV service. Create a graph that compares the proportions of adults who currently subscribe to cable/satellite TV service with the proportion who are “cord cutters.”

Short Answer

Expert verified
  1. 76 percent.

Step by step solution

01

Verifying the accuracy of the proportion

In order to find whether the proportion of adults subscribed to cable/satellite TV service is 75%, the following calculation has been done:

Proportionof the adults subscribed to cable/satellite TV service =Numberofadultssubsribedtocable/satellite TV serviceTotalnumberofadults×100=15212001×100=0.76×100=76%

Therefore, the proportion of adults subscribed to cable/satellite TV services shown in the pie chart is verified.

02

Explaining the graph

If the ones who didn’t subscribe are omitted, then the sample contains only 1821 adults. Now 1521 of 1821 is 83.5 percent, and 300 of 1821 is 16.5 percent. Point A denotes that 83.5 percent of the adults are subscribed to the cable/TV service and 16.5 percent of the adults are subscribed to the cord-cutters. At point B, those 83.5 percent will subscribe to cord-cutters and 16.5 percent will subscribe to cableTV service, and so the graph is downward sloping.

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Most popular questions from this chapter

Rankings of research universities.Refer to the College Choice 2015 Rankings of National Research Universities, Exercise 2.43 (p. 95). Recall that data on academic reputation score, financial aid awarded, and net cost to attend for the top 50 research universities are saved in the TOPUNIV file. The 50 academic reputation scores are listed in the accompanying table.

99 92 94 95 97 91 91 92 92 89 84 85 100 87 83 83 89 79 94 79 79 87 76 67 76 76 76 70 74 64 74 69 66 72 65 76 64 65 61 69 62 69 52 64 64 47 60 57 63 62

a.Find the median, lower quartile, and upper quartile for the data.

b.Find IQR for the data.

c.Graph the data with a box plot.

d.Do you detect any outliers? Suspect outliers?

Performance of stock screeners.Investment companies provide their clients with automated tools—called stock screeners—to help them select a portfolio of stocks to invest in. The American Association of Individual Investors (AAII) provides statistics on stock screeners at its Website, www.aaii.com. The next table lists the annualized percentage return on investment (as compared to the Standard & Poor’s 500 Index) for 13 randomly selected stock screeners. (Note:A negative annualized return reflects a stock portfolio that performed worse than the S&P 500.)

(9.0, -.1, -1.6, 14.6, 16.0, 7.7, 19.9, 9.8, 3.2, 24.8, 17.6, 10.7, 9.1)

a.Compute the mean for the data set. Interpret its value.

b.Compute the median for the data set. Interpret its value.

Using only integers between 0 and 10, construct two data sets with at least 10 observations each so that the two sets have the same mean but different variances. Construct dot plots for each of your data sets and mark the mean of each data set on its dot diagram.

U.S. wine export markets.The Center for International Trade Development (CITD), provides a listing of the top 30 U.S. export markets for sparkling wines. Data on the amount exported (thousands of dollars) and 3-year percentage change for the 30 countries in a recent year are saved in the WINEXfile. (Data for 5 countries are listed in the table.) Descriptive statistics for these variables are shown in the Minitab printout (next column).

5 of the Top 30 U.S. Sparkling Wine Export Markets

Country

Export

($ Thousands)

3-Year

Change (%)

Canada

Japan

Mexico

Cayman Islands

United Kingdom

4952

3714

2104

1576

1041

71.9%

-16.9

143.2

280.7

465.8

a.Locate the mean amount exported on the printout and practically interpret its value.

b.Locate the median amount exported on the printout and practically interpret its value.

c.Locate the mean 3-year percentage change on the printout and practically interpret its value.

d.Locate the median 3-year percentage change on the printout and practically interpret its value.

Descriptive Statistics: Exports, Change

Variable

N

N*

Mean

St

Dev.

Min.

Q1

Median

Q3

Max.

IQR

Export

Change

30

28

0

2

653

481

1113

1098

70

-49

105

21

231

156

523

499

4952

5750

418

478

e. Use the information on the printout to find the range of the amount exported.

f.Locate the standard deviation of the amount exported on the printout.

g.Use the result, part f, to find the variance of the amount exported.

h.If one of the top 30 countries is selected at random, give an interval that is likely to include the export amount for this country.

Network server downtime.A manufacturer of network computer server systems is interested in improving its customer support services. As a first step, its marketing department has been charged with the responsibility of summarizing the extent of customer problems in terms of system downtime. The 40 most recent customers were surveyed to determine the amount of downtime (in hours) they had experienced during the previous month. These data are listed in the table.

Customer Number

Downtime

Customer Number

Downtime

230

12

250

4

231

16

251

10

232

5

252

15

233

16

253

7

234

21

254

20

235

29

255

9

236

38

256

22

237

14

257

18

238

47

258

28

239

0

259

19

240

24

260

34

241

15

261

26

242

13

262

17

243

8

263

11

244

2

264

64

245

11

265

19

246

22

266

18

247

17

267

24

248

31

268

49

249

10

269

50

a.Construct a box plot for these data. Use the information reflected in the box plot to describe the frequency distribution of the data set. Your description should address central tendency, variation, and skewness.

b.Use your box plot to determine which customers are having unusually lengthy downtimes.

c.Find and interpret the z-scores associated with the customers you identified in part b.

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