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Unformatted text preview: and the Producer Price Index are both calculated using the
_________ index formula.
A. Paasche
B. Weighted aggregate
C. Laspeyres
D. Cyclical (seasonal) AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 9
Topic: Index numbers 82. The ________ index is a weighted aggregate price index that uses the base period
quantities as weights in all succeeding time periods.
A. Paasche
B. Firstorder autocorrelation
C. Laspeyres
D. Cyclical (seasonal) AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 9
Topic: Index numbers 83. The ________ index is a weighted aggregate price index. It is accurate in its calculation of
the periodic prices, however using this index it is difficult to compare the prices in different
time periods.
A. Paasche
B. Firstorder autocorrelation
C. Laspeyres
D. Cyclical (seasonal) AACSB: Reflective Thinking
Bloom's: Knowledge
Difficulty: Medium
Learning Objective: 9
Topic: Index numbers 11607 Chapter 01  An Introduction to Business Statistics 84. Given the following data Compute the total error (sum of the error terms).
A. 175
B. 15
C. 15
D. 225 AACSB: Analytic
Bloom's: Application
Difficulty: Easy
Learning Objective: 5
Topic: Exponential Smoothing 11608 Chapter 01  An Introduction to Business Statistics 85. Given the following data Compute the mean squared error (deviation).
A. 225
B. 28.1
C. 496.9
D. 3975 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 6
Topic: Exponential Smoothing 11609 Chapter 01  An Introduction to Business Statistics 86. Given the following data Compute the mean absolute deviation (MAD).
A. 21.9
B. 175
C. 225
D. 28.1 AACSB: Analytic
Bloom's: Application
Difficulty: Easy
Learning Objective: 6
Topic: Exponential Smoothing 11610 Chapter 01  An Introduction to Business Statistics 87. Given the following data Compute the total error (sum of the error terms).
A. 60
B. 10
C. 10
D. 100 AACSB: Analytic
Bloom's: Application
Difficulty: Easy
Learning Objective: 5
Topic: Exponential Smoothing 11611 Chapter 01  An Introduction to Business Statistics 88. Given the following data Compute the mean squared deviation (error).
A. 100
B. 125
C. 750
D. 16.7 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 6
Topic: Exponential Smoothing 11612 Chapter 01  An Introduction to Business Statistics 89. Given the following data Compute the mean absolute deviation.
A. 60
B. 10
C. 10
D. 16.7 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 6
Topic: Exponential Smoothing 11613 Chapter 01  An Introduction to Business Statistics 90. Consider the following data: Calculate S0 using simple exponential smoothing and α = 2.
A. 19.5
B. 19
C. 18.6
D. 19.25 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 5
Topic: Exponential Smoothing 11614 Chapter 01  An Introduction to Business Statistics 91. Consider the following data: Calculate S1 using simple exponential smoothing and α = 2.
A. 19
B. 17.4
C. 19.6
D. 18.6 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 5
Topic: Exponential Smoothing 11615 Chapter 01  An Introduction to Business Statistics 92. Consider the following data: Use simple exponential smoothing with α = 0.2.and determine the forecast error for time
period 1.
A. 1.6
B. 1.6
C. 0
D. 2 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 5
Topic: Exponential Smoothing 11616 Chapter 01  An Introduction to Business Statistics 93. Consider the following data: Consider the following data and calculate S3 using simple exponential smoothing if S1 = 18.6
and α = 0.2.
A. 19.08
B. 19.00
C. 19.60
D. 19.06 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 5
Topic: Exponential Smoothing 11617 Chapter 01  An Introduction to Business Statistics 94. Consider the following data: Calculate S5 using simple exponential smoothing if S3 = 19.064 and α = 0.2.
A. 19.48
B. 19.85
C. 18.80
D. 19.80 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 5
Topic: Exponential Smoothing 11618 Chapter 01  An Introduction to Business Statistics 95. Based on the following data, a forecaster used simple exponential smoothing and
determined the following: S0 = 19, S1 = 18.6, S2 = 19.08, S3 = 19.064, S4 = 19.851 and S5 =
19.481. Calculate the average forecast error.
A. 3.0
B. 1.80
C. 1.643
D. 1.924 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 5
Topic: Exponential Smoothing 11619 Chapter 01  An Introduction to Business Statistics 96. Based on the following data, a forecaster used simple exponential smoothing and
determined the following: S0 = 19, S1 = 18.6, S2 = 19.08, S3 = 19.064, S4 = 19.851 and S5 =
19.481. Calculate the Mean Squared Deviation (MSD or MSE).
A. 18.355
B. 3.671
C. 13.494
D. 6.314 AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Learning Objective: 6
Topic: Exponential Smoothing 11620 Chapter 01  An Introduction to Business Statistics 97. Based on the following data, a forecaster used si...
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This document was uploaded on 01/20/2014.
 Winter '14

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