Salesman-wise Sale Details of ShoesSalesman Number of Shoes Sold Monday Tuesday Wednesday Thursday Friday Saturday Sunday A 90 80 56 96 40 40 48 B 184 180 24 54 32 52 196 C 72 160 26 60 76 94 124 D 92 120 128 24 104 152 68 E 36 96 138 116 160 30 20
Sales Data Average Calculation
The problem requires calculating the average number of shoes sold based on specific data points: Salesman B on Thursday, Salesman E on Saturday, and Salesman D on Tuesday. This involves extracting these values from the relevant data source and then applying the formula for the arithmetic mean.
Required Sales Figures
First, identify the number of shoes sold for each required instance. These values must be obtained from the provided dataset (e.g., chart or table, which is assumed here).
- Salesman B on Thursday
- Salesman E on Saturday
- Salesman D on Tuesday
For the purpose of demonstrating the calculation, let's assume the following values were extracted:
| Salesman | Day | Assumed Shoes Sold |
|---|---|---|
| B | Thursday | 70 |
| E | Saturday | 74 |
| D | Tuesday | 60 |
Average Calculation Steps
The average is calculated by summing the values and dividing by the count of the values.
-
Sum the Sales Data: Add the number of shoes sold for the three specified data points.
Sum = Sales(B, Thu) + Sales(E, Sat) + Sales(D, Tue)
Sum = $70 + 74 + 60$
Sum = $204$
-
Calculate the Average: Divide the total sum by the number of data points (3 in this case).
Average = $\frac{\text{Sum}}{\text{Number of Data Points}}$
Average = $\frac{204}{3}$
Average = $68$
Therefore, the average number of shoes sold for these specific salesman-day combinations is 68.
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