Revenue. The marketing research department of a computer company used a large city to test market the firm’s new laptop. The department found that the relationship between price p (dollars per unit) and the demand x (units per week) was given approximately by p = 1 , 296 − 0.12 x 2 0 < x < 80 So weekly revenue can be approximated by R ( x ) = x p = 1 , 296 x − 0.12 x 3 0 < x < 80 (A) Find the local extrema for the revenue function. (B) On which intervals is the graph of the revenue function concave upward? Concave downward?
Revenue. The marketing research department of a computer company used a large city to test market the firm’s new laptop. The department found that the relationship between price p (dollars per unit) and the demand x (units per week) was given approximately by p = 1 , 296 − 0.12 x 2 0 < x < 80 So weekly revenue can be approximated by R ( x ) = x p = 1 , 296 x − 0.12 x 3 0 < x < 80 (A) Find the local extrema for the revenue function. (B) On which intervals is the graph of the revenue function concave upward? Concave downward?
Solution Summary: The author calculates the local extrema of the revenue function R(x).
Revenue. The marketing research department of a computer company used a large city to test market the firm’s new laptop. The department found that the relationship between price p (dollars per unit) and the demand x (units per week) was given approximately by
p
=
1
,
296
−
0.12
x
2
0
<
x
<
80
So weekly revenue can be approximated by
R
(
x
)
=
x
p
=
1
,
296
x
−
0.12
x
3
0
<
x
<
80
(A) Find the local extrema for the revenue function.
(B) On which intervals is the graph of the revenue function concave upward? Concave downward?
The following table shows a data set containing information for 25 of the shadow stocks tracked by the American Association of Individual Investors (aaii.com, February 2002). Shadow stocks are common stocks of smaller companies that are not closely followed by Wall Street analysts.
Click on the datafile logo to reference the data.
DATA file
Company
DeWolfe Companies
Exchange
Ticker
Symbol
Market
Cap
($ millions)
Price/
Gross
Profit
Earnings
Ratio
Margin
(%)
AMEX
DWL
36.4
8.4
36.7
North Coast Energy
OTC
NCEB
52.5
6.2
59.3
Hansen Natural Corp.
OTC
HANS
41.1
14.6
44.8
MarineMax, Inc.
NYSE
HZO
111.5
7.2
23.8
Nanometrics Incorporated
OTC
NANO
228.6
38.0
53.3
TeamStaff, Inc.
OTC
TSTF
92.1
33.5
4.1
Environmental Tectonics
AMEX
ETC
51.1
35.8
35.9
Measurement Specialties
AMEX
MSS
101.8
26.8
37.6
SEMCO Energy, Inc.
NYSE
SEN
193.4
18.7
23.6
Party City Corporation
OTC
PCTY
97.2
15.9
36.4
Embrex, Inc.
OTC
EMBX
136.5
18.9
59.5
Tech/Ops Sevcon, Inc.
AMEX
ΤΟ
23.2
20.7
35.7
ARCADIS NV
OTC
ARCAF
173.4…
The following table shows a data set containing information for 25 of the shadow stocks tracked by the American Association of Individual Investors (aaii.com, February 2002). Shadow stocks are common stocks of smaller companies that are not closely followed by Wall Street analysts.
Click on the datafile logo to reference the data.
DATA file
Company
DeWolfe Companies
Exchange
AMEX
Ticker
Symbol
Market
Cap
Price/
Gross
Profit
Earnings Margin
($ millions)
Ratio
(%)
DWL
36.4
8.4
36.7
North Coast Energy
OTC
NCEB
52.5
6.2
59.3
Hansen Natural Corp.
OTC
HANS
41.1
14.6
44.8
MarineMax, Inc.
NYSE
HZO
111.5
7.2
23.8
Nanometrics Incorporated
OTC
NANO
228.6
38.0
53.3
TeamStaff, Inc.
OTC
TSTF
92.1
33.5
4.1
Environmental Tectonics
AMEX
ETC
51.1
35.8
35.9
Measurement Specialties
AMEX
MSS
101.8
26.8
37.6
SEMCO Energy, Inc.
NYSE
SEN
193.4
18.7
23.6
Party City Corporation
OTC
PCTY
97.2
15.9
36.4
Embrex, Inc.
OTC
EMBX
136.5
18.9
59.5
Tech/Ops Sevcon, Inc.
AMEX
ΤΟ
23.2
20.7
35.7
ARCADIS NV
OTC
ARCAF
173.4…
The following data show the year to date percent change (YTD % Change) for 30 stock-market indexes from around the word (The Wall Street Journal, August 26, 2013).
a. What index has the largest positive YTD % Change? Round your answer to once decimal place. index with a YTD % Change of %
b. Using a class width of 5 beginning with -20 and going to 40, develop a frequency distribution for the data.
YTD % Change
Frequency
-20 - -15
-15 - -10
-10 - -5
-5 - 0
0 - 5
5 - 10
10 - 15
15 - 20
20 - 25
30 - 35
c.
1.
2.
3.
4.
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