(a) Compute four-week and five-week moving averages for the time series. If required, round your answers to two decimal places. Week Sales 4 Period Moving Average 5 period Moving Average 1 18 2 22 3 15 4 24 5 18 6 15 7 21 8 19 9 21 10 20 11 16 12 22 (b) Compute the MSE for the four-week and five-week moving average forecasts. If required, round your final answers to three decimal places. MSE for four-week moving average = MSE for five-week moving average = (c) What appears to be the best number of weeks of past data (three, four, or five) to use in the moving average computation? Consider that the MSE for the three-week moving average is 10.086.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
Refer to the gasoline sales time series data in the given table.
Week | Sales (1,000s of gallons) |
1 | 18 |
2 | 22 |
3 | 15 |
4 | 24 |
5 | 18 |
6 | 15 |
7 | 21 |
8 | 19 |
9 | 21 |
10 | 20 |
11 | 16 |
12 | 22 |
(a) | Compute four-week and five-week moving averages for the time series. | ||||||||||||||||||||||||||||||||||||||||||||||||||||
If required, round your answers to two decimal places. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
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(b) | Compute the MSE for the four-week and five-week moving average forecasts. | ||||||||||||||||||||||||||||||||||||||||||||||||||||
If required, round your final answers to three decimal places. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
MSE for four-week moving average = | |||||||||||||||||||||||||||||||||||||||||||||||||||||
MSE for five-week moving average = | |||||||||||||||||||||||||||||||||||||||||||||||||||||
(c) | What appears to be the best number of weeks of past data (three, four, or five) to use in the moving average computation? Consider that the MSE for the three-week moving average is 10.086. |
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