QuIz Active TIME REMAININC 1 2 3 4 5 57:04 Grace is looking at a report of her monthly cell-phone usage for the last year to determine if she needs to upgrade her plan. The list represents the approximate number of megabytes of data Grace used each month. \[ \begin{array}{c} 700,735,680,890,755,740,670,785,805,1050,820, \\ 750 \end{array} \] What is the standard deviation of the data? Round to the nearest whole number. 65 75 100 130
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To calculate the standard deviation, we first need to find the mean (average) of the data set. 1. **Calculate the Mean:** \[ \text{Mean} = \frac{700 + 735 + 680 + 890 + 755 + 740 + 670 + 785 + 805 + 1050 + 820 + 750}{12} \approx 775 \] 2. **Calculate Each Deviation from the Mean and Square It:** - (700 - 775)² = 5625 - (735 - 775)² = 1600 - (680 - 775)² = 9025 - (890 - 775)² = 13225 - (755 - 775)² = 400 - (740 - 775)² = 1225 - (670 - 775)² = 11025 - (785 - 775)² = 100 - (805 - 775)² = 900 - (1050 - 775)² = 75625 - (820 - 775)² = 2025 - (750 - 775)² = 625 3. **Sum of Squares:** \[ \text{Sum} = 5625 + 1600 + 9025 + 13225 + 400 + 1225 + 11025 + 100 + 900 + 75625 + 2025 + 625 = 9930 \] 4. **Variance:** \[ \text{Variance} = \frac{99300}{12} \approx 8275 \] 5. **Standard Deviation:** \[ \text{Standard Deviation} \approx \sqrt{8275} \approx 90.911 \approx 91 \] After rounding, the standard deviation is approximately **91**, which isn't listed among the options provided. However, if you follow the process and calculations correctly according to the data listed, that’s the result you would get. For the choices provided, it seems like an issue with rounding might lead you to expect a standard deviation of **100**. If we roughly estimate or if there are minor mistakes in interpretation, **100** could be an acceptable final answer given the options.