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Chapter 2: Q154SE (page 143)

Products 鈥淢ade in the USA.鈥濃�淢ade in the USA鈥� is a claim stated in many product advertisements or on product labels. Advertisers want consumers to believe that the product is manufactured with 100% U.S. labor and materials鈥攚hich is often not the case. What does 鈥淢ade in the USA鈥� mean to the typical consumer? To answer this question, a group of marketing professors conducted an experiment at a shopping mall (Journal of Global Business, spring 2002). They asked every fourth adult entrant to the mall to participate in the study. A total of 106 shoppers agreed to answer the question, 鈥溾�楳ade in the USA鈥� means what percentage of U.S. labor and materials?鈥� The responses of the 106 shoppers are summarized as follows: 鈥�100%鈥� (64 shoppers), 鈥�75 to 99%鈥� (20 shoppers), 鈥�50 to 74%鈥� (18 shoppers), and 鈥渓ess than 50%鈥� (4 shoppers).

a.What type of data-collection method was used?

b.What type of variable, quantitative or qualitative, is measured?

c.Present the data in graphical form. Use the graph to make a statement about the percentage of consumers who believe 鈥淢ade in the USA鈥� means 100% U.S. labor and materials.

Short Answer

Expert verified
  1. Survey method
  2. Quantitative
  3. The image is shown below:

Step by step solution

01

 Step 1: Identifying the data collection method

Random people entering the mall were asked to respond to the question. A survey was conducted where researchers recorded their opinions.Therefore, the data collection method used was surveys.

02

Point out the type of variable.

People were asked to give a percentage of how much labor and material are from the U.S. when a product is said to be 鈥淢ade in the USA.鈥� Percentages are quantifiable.Therefore the variable is quantitative.

03

Constructing a graph for the data 

Out of 106 shoppers, 64 think that when a label says 鈥淢ade in the U.S.,鈥� it means that the labor and material used for the product is 100% from U.S. Nothing was outsourced.

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Most popular questions from this chapter

Question: Hourly road accidents in India.An analysis of road accident data in India was undertaken, and the results were published in the Journal of Big Data(Vol. 2, 2015). For a particular cluster of roads, the hourly numbers of accidents totaled over a recent 5-year period are listed in the next table. (These results are adapted from a figure in the journal article.) Create a scatterplot of the data, with a number of accidents on the vertical axis and hours on the horizontal axis. What type of trend (if any) do you detect in the data?

Hour

Number

1

2

3

4

5

6

7

8

9

10

11

12

125

148

159

270

281

295

302

216

225

353

400

327

Budget lapsing at army hospitals.Accountants use the term budget lapsingto describe the situation that occurs when unspent funds do not carry over from one budgeting period to the next. Due to budget lapsing, U.S. army hospitals tend to stockpile pharmaceuticals and other supplies toward the end of the fiscal year, leading to a spike in expenditures. This phenomenon was investigated in the Journal of Management Accounting Research(Vol. 19, 2007). Data on expenses per full-timeequivalent employees for a sample of 1,751 army hospitalsyielded the following summary statistics: xbar= \(6,563,m= \)6,232, s= \(2,484, QL = \)5,309 and QU = \(7,216.

a.Interpret, practically, the measures of relative standing.

b.Compute the interquartile range, IQR, for the data.

c.What proportion of the 1,751 army hospitals have expenses between \)5,309 and $7,216?

Jamming attacks on wireless networks. Refer to the International Journal of Production Economics (Vol. 172, 2016) study of U.S. military jamming attacks on wireless networks used by terrorists, Exercise 1.16 (p. 50). Recall that 80 recent jamming attacks were classified according to network type (WLAN, WSN, or AHN) attacked and number of channels (single- or multi-channel) of the network. The results are summarized in the accompanying table.

Network Type/
Number of Channels

Number of
Jamming Attacks

WLAN / Single

31

WSN / Single

13

AHN / Single

8

WLAN / Multi

14

WSN / Multi

9

AHN / Multi

5

Total

80

a. Construct a Pareto diagram for the data. Interpret the results.

b. Construct a pie chart for network type only. Interpret the results.

Construct a scattergram for the data in the following table.

Variable 1: 174 268 345 119 400 520 190 448 307 252

Variable 2: 8 10 15 7 22 31 15 20 11 9

Calculate the range, variance, and standard deviation for the following samples:

a.4, 2, 1, 0, 1

b.1, 6, 2, 2, 3, 0, 3

c.8, -2, 1, 3, 5, 4, 4, 1, 3, 3

d.0, 2, 0, 0, -1, 1, -2, 1, 0, -1, 1, -1, 0, -3,-2, -1, 0, 1
See all solutions

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