In the data set below, what is the variance? 1, 3, 5, 1, 7, 7 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. Σ(x_i - mean)^2 = (1 - 4)^2 + (3 - 4)^2 + (5 - 4)^2 + (1 - 4)^2 + (7 - 4)^2 + (7 - 4)^2 Σ(x_i - mean)^2 = (-3)^2 + (-1)^2 + (1)^2 + (-3)^2 + (3)^2 + (3)^2 Σ(x_i - mean)^2 = 9 + 1 + 1 + 9 + 9 + 9 Σ(x_i - mean)^2 = 38Calculate Variance: Finally, we calculate the variance by dividing the sum of squared differences by the number of data points. Variance (σ^2) = Σ(x_i - mean)^2 / N Variance (σ^2) = 38 / 6 Variance (σ^2) = 6.333... Rounded to the nearest tenth, Variance (σ^2) ≈ 6.3

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In the data set below, what is the variance? $\newline$ $1, 3, 5, 1, 7, 7$ $\newline$ 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, 5, 1, 7, 7

\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. $\newline$ $\Sigma(x_i - \text{mean})^2 = (1 - 4)^2 + (3 - 4)^2 + (5 - 4)^2 + (1 - 4)^2 + (7 - 4)^2 + (7 - 4)^2$ $\newline$ $\Sigma(x_i - \text{mean})^2 = (-3)^2 + (-1)^2 + (1)^2 + (-3)^2 + (3)^2 + (3)^2$ $\newline$ $\Sigma(x_i - \text{mean})^2 = 9 + 1 + 1 + 9 + 9 + 9$ $\newline$ $\Sigma(x_i - \text{mean})^2 = 38$
Calculate Variance: Finally, we calculate the variance by dividing the sum of squared differences by the number of data points. $\newline$ Variance $\sigma^2$ = $\frac{\Sigma(x_i - \text{mean})^2}{N}$ $\newline$ Variance $\sigma^2$ = $\frac{38}{6}$ $\newline$ Variance $\sigma^2$ = $6$ . $333$ ... $\newline$ Rounded to the nearest tenth, Variance $\sigma^2$ $\approx 6.3$