The following data reflect the number of customers who return merchandise for a refund on Monday. Note these data reflect the population of all 10 Mondays for which data 25 16 Based on these data, what is the standard deviation? are available. 17 22 40 46 19 7 12 13

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**Data on Customer Merchandise Returns**

**Overview**
The table below illustrates the number of customers who returned merchandise for a refund on Mondays. This data represents all 10 Mondays for which the information is available.

| 40 | 12 | 17 | 25 | 9  |
|----|----|----|----|----|
| 46 | 13 | 22 | 16 | 7  |

**Task**
Using this data, calculate the standard deviation to understand the variability in the number of returns.

---

**Explanation**
The table comprises two rows and five columns, presenting data points that indicate the number of returned items each Monday. Use these numbers to compute the standard deviation, which measures the dispersion of the dataset relative to its mean.
Transcribed Image Text:**Data on Customer Merchandise Returns** **Overview** The table below illustrates the number of customers who returned merchandise for a refund on Mondays. This data represents all 10 Mondays for which the information is available. | 40 | 12 | 17 | 25 | 9 | |----|----|----|----|----| | 46 | 13 | 22 | 16 | 7 | **Task** Using this data, calculate the standard deviation to understand the variability in the number of returns. --- **Explanation** The table comprises two rows and five columns, presenting data points that indicate the number of returned items each Monday. Use these numbers to compute the standard deviation, which measures the dispersion of the dataset relative to its mean.
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