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Graph In This Exhibit Are Data Analysis Chapter

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Average sales-per-month within each season are also given in this table. These figures were used to make projections for both 2011 and 2012, as shown in the sales and error table to the right; the level of error for 2011 is given (as determined by subtracting the actual sales value by the projected sales value) as a means of establishing the accuracy of projections for 2012. The sales graph shows the projected and actual sales levels in 2011 as a means of visually comparing the accuracy (and divergence) of the projections, while the error graph beneath demonstrates the degree of error in the projections for each month, with distance from the zero line in either direction indicating the degree of error in the projections. Exhibit 3

The final exhibit presented contains the same information...

Assuming the same seasons exist with the same sales indexes and a slight rise in overall demand, the averages sales-per-month within each season and the sales numbers for each season as a total are given. A ten percent increase in demand for the year was projected, and total demand calculated by adding the total demand for 2011 and multiplying by 1.1. This was then split proportionately among the seasons according to the index level of the seasons as observed in 2011, and average sales-per-month for each season determined by dividing this number by the number of months in the season. The line graph was created simply by using the information as calculated in this table, and shows the same projection as…

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Seasons were established by grouping months of similar demand and sales together resulting in a seven-month average selling season, a tow month high selling season, and a three-month low selling season; the first table in Exhibit 2 simply breaks down the demand levels for each season, the fraction they represent of total annual demand, and an index of demand level taken by dividing the seasonal demand level by the average level the of demand to determine how much above or below average the demand is during each season. Average sales-per-month within each season are also given in this table. These figures were used to make projections for both 2011 and 2012, as shown in the sales and error table to the right; the level of error for 2011 is given (as determined by subtracting the actual sales value by the projected sales value) as a means of establishing the accuracy of projections for 2012. The sales graph shows the projected and actual sales levels in 2011 as a means of visually comparing the accuracy (and divergence) of the projections, while the error graph beneath demonstrates the degree of error in the projections for each month, with distance from the zero line in either direction indicating the degree of error in the projections.

Exhibit 3

The final exhibit presented contains the same information as the corresponding graphs in Exhibit 2, only as projected for 2012 rather than as actually observed. Assuming the same seasons exist with the same sales indexes and a slight rise in overall demand, the averages sales-per-month within each season and the sales numbers for each season as a total are given. A ten percent increase in demand for the year was projected, and total demand calculated by adding the total demand for 2011 and multiplying by 1.1. This was then split proportionately among the seasons according to the index level of the seasons as observed in 2011, and average sales-per-month for each season determined by dividing this number by the number of months in the season. The line graph was created simply by using the information as calculated in this table, and shows the same projection as the line graph shown in Exhibit 2, alongside the line marking actual observed demand per month in 2011.
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