3. A Bloomberg Businessweek North American subscriber study collected data from a sample of 2861 sub-scribers. Fifty- nine percent of the respondents indicated an annual income of $ 75,000 or more, and 50% reported having an American Express credit card. a. What is the population of interest in this study? b. Is annual income a categorical or quantitative variable? c. Is ownership of an American Express card a categorical or quantitative variable? d. Does this study involve cross- sectional or time series data? e. Describe any statistical inferences Bloomberg Businessweek might make on the basis of the survey.
3. A Bloomberg Businessweek North American subscriber study collected data from a sample of 2861 sub-scribers. Fifty- nine percent of the respondents indicated an annual income of $ 75,000 or more, and 50% reported having an American Express credit card. a. What is the population of interest in this study? b. Is annual income a categorical or quantitative variable? c. Is ownership of an American Express card a categorical or quantitative variable? d. Does this study involve cross- sectional or time series data? e. Describe any statistical inferences Bloomberg Businessweek might make on the basis of the survey.
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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
Transcribed Image Text:3.
A Bloomberg Businessweek North American subscriber study collected data from a sample of 2861
sub-scribers. Fifty- nine percent of the respondents indicated an annual income of $ 75,000 or more,
and 50% reported having an American Express credit card.
a. What is the population of interest in this study?
b. Is annual income a categorical or quantitative variable?
c. Is ownership of an American Express card a categorical or quantitative variable?
d. Does this study involve cross- sectional or time series data?
e. Describe any statistical inferences Bloomberg Businessweek might make on the basis
of the survey.
4.
Table 1.8 shows a data set containing information for 25 of the shadow stocks tracked by the American
Association of Individual Investors. Shadow stocks are common stocks of smaller companies that are
not closely followed by Wall Street analysts. The data set is also on the website that accompanies the
text in the file named Shadow02.
a. How many variables are in the data set?
b. Which of the variables are categorical and which are quantitative?
TABLE 1.8 DATA SET FOR 25 SHADOW STOCKS
Gross
Profit
Margin
(%)
Market
Ticker
Symbol
Сар
($ millions)
Price/
Earnings
Ratio
Company
DeWolfe Companies
North Coast Energy
Hansen Natural Corp.
MarineMax, Inc.
Nanometrics Incorporated
Exchange
AMEX
DWL
36.4
8.4
36.7
OTC
NCEB
52.5
6.2
59.3
ОТС
HANS
41.1
14.6
44.8
NYSE
HZO
111.5
7.2
23.8
OTC
ОТС
NANO
228.6
38.0
53.3
TeamStaff, Inc.
TSTF
ETC
MSS
SEN
92.1
33.5
4.1
Environmental Tectonics
AMEX
51.1
35.8
35.9
Measurement Specialties
SEMCO Energy, Inc.
Party City Corporation
Embrex, Inc.
АМEХ
NYSE
OTC
101.8
193.4
97.2
26.8
37.6
18.7
23.6
PCTY
15.9
36.4
ОТС
EMBX
136.5
18.9
59.5
Tech/Ops Sevcon, Inc.
ARCADIS NV
AMEX
TO
23.2
20.7
35.7
ОТС
ОТС
ARCAF
173.4
8.8
9.6
XING
EWST
Qiao Xing Universal Tele.
Energy West Incorporated
Barnwell Industries, Inc.
Innodata Corporation
64.3
22.1
30.8
ОТС
29.1
9.7
16.3
AMEX
BRN
27.3
7.4
73.4
ОТС
INOD
66.1
11.0
29.6
MDCI
INMRY
Medical Action Industries
Instrumentarium Corp.
Petroleum Development
Drexler Technology Corp.
Gerber Childrenswear Inc.
Gaiam, Inc.
Artesian Resources Corp.
York Water Company
OTC
137.1
240.9
26.9
3.6
30.6
ОТС
52.1
ОТС
PETD
95.9
6.1
19.4
233.6
126.9
ОТС
DRXR
45.6
53.6
NYSE
GCW
7.9
25.8
GAIA
ARTNA
ОТС
295.5
62.8
68.2
20.5
60.7
ОТС
45.5
OTC
YORW
92.2
22.9
74.2
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