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A first order autocorrelation b smoothing constants c

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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. First-order 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. First-order autocorrelation C. Laspeyres D. Cyclical (seasonal) AACSB: Reflective Thinking Bloom's: Knowledge Difficulty: Medium Learning Objective: 9 Topic: Index numbers 1-1607 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 1-1608 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 1-1609 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 1-1610 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 1-1611 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 1-1612 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 1-1613 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 1-1614 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 1-1615 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 1-1616 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 1-1617 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 1-1618 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 1-1619 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 1-1620 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.

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