In the data set below, what is the variance? 8, 6, 9, 4, 6 If the answer is a decimal, round it to the nearest tenth. variance (σ^2): _____

Square and Subtract Mean: Now, subtract the mean from each data point and square the result. (8 - 6.6)^2 = (1.4)^2 = 1.96 (6 - 6.6)^2 = (-0.6)^2 = 0.36 (9 - 6.6)^2 = (2.4)^2 = 5.76 (4 - 6.6)^2 = (-2.6)^2 = 6.76 (6 - 6.6)^2 = (-0.6)^2 = 0.36Add Squared Differences: Add up all the squared differences. Sum of squared differences = 1.96 + 0.36 + 5.76 + 6.76 + 0.36 Sum of squared differences = 15.2Calculate Variance: Divide the sum of squared differences by the number of data points to find the variance. Variance (σ^2) = 15.2 / 5 Variance (σ^2) = 3.04 Round to the nearest tenth. Variance (σ^2) ≈ 3.0

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In the data set below, what is the variance? $\newline$ $8, 6, 9, 4, 6$ $\newline$ 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

8, 6, 9, 4, 6

\newline

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

\newline

variance

(\sigma^2)

: _____

Square and Subtract Mean: Now, subtract the mean from each data point and square the result. $\newline$ $(8 - 6.6)^2 = (1.4)^2 = 1.96$ $\newline$ $(6 - 6.6)^2 = (-0.6)^2 = 0.36$ $\newline$ $(9 - 6.6)^2 = (2.4)^2 = 5.76$ $\newline$ $(4 - 6.6)^2 = (-2.6)^2 = 6.76$ $\newline$ $(6 - 6.6)^2 = (-0.6)^2 = 0.36$
Add Squared Differences: Add up all the squared differences. $\newline$ Sum of squared differences = $1.96 + 0.36 + 5.76 + 6.76 + 0.36$ $\newline$ Sum of squared differences = $15.2$
Calculate Variance: Divide the sum of squared differences by the number of data points to find the variance. $\newline$ Variance $\sigma^2$ = $\frac{15.2}{5}$ $\newline$ Variance $\sigma^2$ = $3$ . $04$ $\newline$ Round to the nearest tenth. $\newline$ Variance $\sigma^2$ $\approx$ $3$ . $0$