In the data set below, what is the variance? 1, 3, 8, 9, 7, 5 If the answer is a decimal, round it to the nearest tenth. variance (σ^2): _____

Calculate Sum Squared Differences: Now, let's calculate the sum of the squared differences from the mean. (1 - 5.5)^2 + (3 - 5.5)^2 + (8 - 5.5)^2 + (9 - 5.5)^2 + (7 - 5.5)^2 + (5 - 5.5)^2 = (-4.5)^2 + (-2.5)^2 + (2.5)^2 + (3.5)^2 + (1.5)^2 + (-0.5)^2 = 20.25 + 6.25 + 6.25 + 12.25 + 2.25 + 0.25 = 47.5Find Variance: Finally, we divide the sum of squared differences by the number of data points to find the variance. Variance (σ^2) = Sum of squared differences / Number of data points Variance (σ^2) = 47.5 / 6 Variance (σ^2) = 7.916666... Rounded to the nearest tenth, the variance is 7.9.

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In the data set below, what is the variance? $\newline$ $1, 3, 8, 9, 7, 5$ $\newline$ If the answer is a decimal, round it to the nearest tenth. $\newline$ variance $(\sigma^2)$ : _____

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Algebra 1

Variance and standard deviation

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Q. In the data set below, what is the variance?

\newline

1, 3, 8, 9, 7, 5

\newline

If the answer is a decimal, round it to the nearest tenth.

\newline

variance

(\sigma^2)

: _____

Calculate Sum Squared Differences: Now, let's calculate the sum of the squared differences from the mean. $\newline$ $(1 - 5.5)^2 + (3 - 5.5)^2 + (8 - 5.5)^2 + (9 - 5.5)^2 + (7 - 5.5)^2 + (5 - 5.5)^2$ $\newline$ = $(-4.5)^2 + (-2.5)^2 + (2.5)^2 + (3.5)^2 + (1.5)^2 + (-0.5)^2$ $\newline$ = $20.25 + 6.25 + 6.25 + 12.25 + 2.25 + 0.25$ $\newline$ = $47.5$
Find Variance: Finally, we divide the sum of squared differences by the number of data points to find the variance. $\newline$ Variance $\sigma^2$ = Sum of squared differences / Number of data points $\newline$ Variance $\sigma^2$ = $\frac{47.5}{6}$ $\newline$ Variance $\sigma^2$ = $7$ . $916666$ ... $\newline$ Rounded to the nearest tenth, the variance is $7.9$ .