15. [0.45/1.83 Points] DETAILS MY NOTES Consider the sample data. x: 24.4 32.1 57 68.5 72.2 91.1 (a) Calculate $\sum x$. $\sum x$ = 345.3 Calculate $\sum x^2$. $\sum x^2$ = 25176.07 (b) Use the results of part (a) and the appropriate computation formulas to compute the sample variance $s^2$ and sample standard deviation $s$. $s^2$ = 1066.678 $s$ = 32.65
Added by Benjamin H.
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Step 1: The sample variance is given by: $$s^2 = \frac{\sum_{i=1}^n (x_i - \bar{x})^2}{n-1}$$ where $\bar{x}$ is the sample mean. Show more…
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