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Essay / Research Paper Abstract
A 4 page paper comparing the graphs of raw sales data and three- and five-day moving averages of that data. ABC Floral Shop has data on the number of geraniums it sold over a two-week period and wishes to use that data to forecast demand for other periods. It chooses to assess demand in terms of a moving average, beginning its assessment with a three-day and five-day moving average using its original two-week data. The paper concludes that the three-day interval provides the most accurate forecast. Bibliography lists 3 sources.
Page Count:
4 pages (~225 words per page)
File: CC6_KSstatDemand.rtf
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Unformatted sample text from the term paper:
data on the number of geraniums it sold over a two-week period and wishes to use that data to forecast demand for other periods. It chooses to assess demand
in terms of a moving average, beginning its assessment with a three-day and five-day moving average using its original two-week data. Beginning Data
The stores raw data for its two-week base period are presented in the following table. Table 1 holds the raw data; Figure 1 is the graphical representation of that
data. Table 1. Raw Data Figure 1. Raw Data Day Number Day Number 1 200 8 150 2 134 9
182 3 157 10 197 4 165 11 136 5 177 12 163 6 125 13 157 7 146 14 169
Three-Day Moving Average Calculating the moving average using a three-day interval, results are as illustrated in Table 2 and Figure 2.
Table 2 provides values for the three-day moving average; Figure 2 is the graphical representation of that data. Table 2.
Three-Day Moving Average Figure 2. Three-Day Moving Average Day Number Day Number 1 N/A 8 159.33 2 N/A 9 176.33 3 163.67 10 171.67 4 152.00 11 165.33 5
166.33 12 152.00 6 155.67 13 163.00 7 149.33 14 159.33 Five-Day Moving Average
Calculating the moving average using a five-day interval, results are as illustrated in Table 3 and Figure 3. Table 3 provides values for the three-day moving average;
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