Sales for the past 12 months at Computer Success are given here. Month Sales ($) Month Sales ($) January February March April May June 3000 3400 3700 4100 4700 5700 July August September October November December 6300 7200 6400 4600 4200 3900 a. Use a three-month moving average to forecast the sales for the months May through December.b. Use a four-month moving average to forecast the sales for the months May through December.c. Compare the performance of the two methods by using the mean absolute deviation as the performance criterion. Which method would you recommend?d. Compare the performance of the two methods by using the mean absolute percent error as the performance criterion. Which method would you recommend?e. Compare the performance of the two methods by using the mean squared error as the performance criterion. Which method would you recommend?
Sales for the past 12 months at Computer Success are given here. Month Sales ($) Month Sales ($) January February March April May June 3000 3400 3700 4100 4700 5700 July August September October November December 6300 7200 6400 4600 4200 3900 a. Use a three-month moving average to forecast the sales for the months May through December.b. Use a four-month moving average to forecast the sales for the months May through December.c. Compare the performance of the two methods by using the mean absolute deviation as the performance criterion. Which method would you recommend?d. Compare the performance of the two methods by using the mean absolute percent error as the performance criterion. Which method would you recommend?e. Compare the performance of the two methods by using the mean squared error as the performance criterion. Which method would you recommend?
Sales for the past 12 months at Computer Success are given here. Month Sales ($) Month Sales ($) January February March April May June 3000 3400 3700 4100 4700 5700 July August September October November December 6300 7200 6400 4600 4200 3900 a. Use a three-month moving average to forecast the sales for the months May through December.b. Use a four-month moving average to forecast the sales for the months May through December.c. Compare the performance of the two methods by using the mean absolute deviation as the performance criterion. Which method would you recommend?d. Compare the performance of the two methods by using the mean absolute percent error as the performance criterion. Which method would you recommend?e. Compare the performance of the two methods by using the mean squared error as the performance criterion. Which method would you recommend?
Sales for the past 12 months at Computer Success are given here.
Month
Sales ($)
Month
Sales ($)
January
February
March
April
May
June
3000
3400
3700
4100
4700
5700
July
August
September
October
November
December
6300
7200
6400
4600
4200
3900
a. Use a three-month moving average to forecast the sales for the months May through December. b. Use a four-month moving average to forecast the sales for the months May through December. c. Compare the performance of the two methods by using the mean absolute deviation as the performance criterion. Which method would you recommend? d. Compare the performance of the two methods by using the mean absolute percent error as the performance criterion. Which method would you recommend? e. Compare the performance of the two methods by using the mean squared error as the performance criterion. Which method would you recommend?
Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
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