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

Calculate Squared Differences: Now, subtract the mean from each data point and square the result. (8 - 5.8)^2 = (2.2)^2 = 4.84 (8 - 5.8)^2 = (2.2)^2 = 4.84 (2 - 5.8)^2 = (-3.8)^2 = 14.44 (3 - 5.8)^2 = (-2.8)^2 = 7.84 (8 - 5.8)^2 = (2.2)^2 = 4.84Sum of Squared Differences: Add up all the squared differences. Sum of squared differences = 4.84 + 4.84 + 14.44 + 7.84 + 4.84 Sum of squared differences = 36.8Calculate Variance: Divide the sum of squared differences by the number of data points to find the variance. Variance (σ^2) = 36.8 / 5 Variance (σ^2) = 7.36 Round to the nearest tenth. Variance (σ^2) ≈ 7.4

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In the data set below, what is the variance? $\newline$ $8, 8, 2, 3, 8$ $\newline$ 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, 8, 2, 3, 8

\newline

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

\newline

variance

(\sigma^2)

: _____

Calculate Squared Differences: Now, subtract the mean from each data point and square the result. $\newline$ $(8 - 5.8)^2 = (2.2)^2 = 4.84$ $\newline$ $(8 - 5.8)^2 = (2.2)^2 = 4.84$ $\newline$ $(2 - 5.8)^2 = (-3.8)^2 = 14.44$ $\newline$ $(3 - 5.8)^2 = (-2.8)^2 = 7.84$ $\newline$ $(8 - 5.8)^2 = (2.2)^2 = 4.84$
Sum of Squared Differences: Add up all the squared differences. $\newline$ Sum of squared differences = $4.84 + 4.84 + 14.44 + 7.84 + 4.84$ $\newline$ Sum of squared differences = $36.8$
Calculate Variance: Divide the sum of squared differences by the number of data points to find the variance. $\newline$ Variance $\sigma^2$ = $\frac{36.8}{5}$ $\newline$ Variance $\sigma^2$ = $7$ . $36$ $\newline$ Round to the nearest tenth. $\newline$ Variance $\sigma^2$ $\approx$ $7$ . $4$