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In addition, the analyst wanted to go deeper into the analysis and wanted to calculate more metrics to understand the customer behavior. The analyst accordingly
In addition, the analyst wanted to go deeper into the analysis and wanted to calculate more metrics to understand the customer behavior. The analyst accordingly produced the below table for some selected categories, see table 3. Table 3: Descriptive Analysis for some selected categories Descriptive Metric Total_Amount Appliances Clothing Entertainment Fitness Food Health Telcos Sum 34077.24 5984.32 6967.4 589.08 586.38 779.15 624.72 8972.55 Total Variation 72567931.58 7302091.642 5323442.163 335448.0715 43901.89 156393.6 261346.29 29077726.99 Minimum 22.8 0 0 0 0 0 0 0 Maximum 7178.26 2381.21 1848.36 589.08 139.22 329.46 511.38 4831.79 Median 547.31 0 38.94 0 0 0 0 0 First Quartile 184.9775 0 0 0 0 0 0 0 Third Quartile 1487.4425 42.75 237.6975 0 0 0 0 0 Based on given values in table 3, answer the following questions: The value for the food_amount ($) given its z-score = 1.25, is: a. 3113.257263 b. 117.767 c. 139.4880548 d. 68.18141636
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