Bundle: Statistics for Business & Economics, Loose-Leaf Version, 13th + MindTap Business Statistics with XLSTAT, 1 term (6 months) Printed Access Card
13th Edition
ISBN: 9781337148092
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: Cengage Learning
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Textbook Question
Chapter 20.2, Problem 1E
The following table reports prices and usage quantities for two items in 2009 and 2011.
- a. Compute price relatives for each item in 2011 using 2009 as the base period.
- b. Compute an unweighted aggregate price index for the two items in 2011 using 2009 as the base period.
- c. Compute a weighted aggregate price index for the two items using the Laspeyres method.
- d. Compute a weighted aggregate price index for the two items using the Paasche method.
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Use the following price information for selected foods for 2000 and 2013 given in the following table in the image.
a. Compute a simple price index for each of the four items. Use 2000 as the base period.
b. Compute a simple aggregate price index. Use 2000 as the base period.
c.Compute Laspeyres’ price index for 2013 using 2000 as the base period.
p1. Construct simple aggregative price index from the following data :
Commodities
Prices in 2015 $
Prices in 2016 $
1
15.00
18.00
11
5.00
8.00
111
2.25
4.00
IV
6.00
7.00
Use the following price information for selected items for 2010 and 2018. Production figures for those two periods are also given.
Price
Quantity
Item
2010
2018
2010
2018
Aluminum (cents per pound)
$
0.82
$
0.86
1,000
1,200
Natural gas $ per million BLA
4.37
2.99
5,000
4,000
Petroleum (barrel)
71.21
58.15
60,000
60,000
Platinum (troy ounce)
1,743.60
1,292.53
500
600
Chapter 20 Solutions
Bundle: Statistics for Business & Economics, Loose-Leaf Version, 13th + MindTap Business Statistics with XLSTAT, 1 term (6 months) Printed Access Card
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