In the data set below, what is the variance? 9, 9, 8, 3, 1 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. (9 - 6)^2 = 3^2 = 9 (9 - 6)^2 = 3^2 = 9 (8 - 6)^2 = 2^2 = 4 (3 - 6)^2 = (-3)^2 = 9 (1 - 6)^2 = (-5)^2 = 25Add Squared Differences: Add up all the squared differences. Sum of squared differences = 9 + 9 + 4 + 9 + 25 Sum of squared differences = 56Find Variance: 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) = 56 / 5 Variance (σ^2) = 11.2

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In the data set below, what is the variance? $\newline$ $9, 9, 8, 3, 1$ $\newline$ 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

9, 9, 8, 3, 1

\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. $\newline$ $(9 - 6)^2 = 3^2 = 9$ $\newline$ $(9 - 6)^2 = 3^2 = 9$ $\newline$ $(8 - 6)^2 = 2^2 = 4$ $\newline$ $(3 - 6)^2 = (-3)^2 = 9$ $\newline$ $(1 - 6)^2 = (-5)^2 = 25$
Add Squared Differences: Add up all the squared differences. $\newline$ Sum of squared differences = $9 + 9 + 4 + 9 + 25$ $\newline$ Sum of squared differences = $56$
Find Variance: 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 $\sigma^2$ = $\frac{56}{5}$ $\newline$ Variance $\sigma^2$ = $11.2$