In the data set below, what is the variance? 9, 6, 3, 1, 3, 8, 5 If the answer is a decimal, round it to the nearest tenth. variance (σ^2): _____

Calculate Mean: Calculate the mean of the data set. Mean = (9 + 6 + 3 + 1 + 3 + 8 + 5)/7 μ = 35/7 μ = 5Calculate Sum of Squared Differences: Data set: 9, 6, 3, 1, 3, 8, 5 μ = 5 Calculate the sum of the squared differences from the mean. (9 - 5)^2 + (6 - 5)^2 + (3 - 5)^2 + (1 - 5)^2 + (3 - 5)^2 + (8 - 5)^2 + (5 - 5)^2 = (4)^2 + (1)^2 + (-2)^2 + (-4)^2 + (-2)^2 + (3)^2 + (0)^2 = 16 + 1 + 4 + 16 + 4 + 9 + 0 = 50Calculate Variance: We have: Σ(x_i - μ)^2= 50 N= 7 Calculate the variance and round your answer to the nearest tenth. σ^2 = (Σ(x_i - μ)^2)/N σ^2 = 50/7 σ^2 ≈ 7.1 (rounded to the nearest tenth)

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In the data set below, what is the variance? $\newline$ $9, 6, 3, 1, 3, 8, 5$ $\newline$ 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

9, 6, 3, 1, 3, 8, 5

\newline

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

\newline

variance

(\sigma^2)

: _____

Calculate Mean: Calculate the mean of the data set. $\newline$ Mean = $(9 + 6 + 3 + 1 + 3 + 8 + 5)/7$ $\newline$ $\mu = 35/7$ $\newline$ $\mu = 5$
Calculate Sum of Squared Differences: Data set: $9, 6, 3, 1, 3, 8, 5$ $\newline$ $\mu = 5$ $\newline$ Calculate the sum of the squared differences from the mean. $\newline$ $(9 - 5)^2 + (6 - 5)^2 + (3 - 5)^2 + (1 - 5)^2 + (3 - 5)^2 + (8 - 5)^2 + (5 - 5)^2$ $\newline$ $= (4)^2 + (1)^2 + (-2)^2 + (-4)^2 + (-2)^2 + (3)^2 + (0)^2$ $\newline$ $= 16 + 1 + 4 + 16 + 4 + 9 + 0$ $\newline$ $= 50$
Calculate Variance: We have: $\newline$ $\Sigma(x_i - \mu)^2= 50$ $\newline$ $N= 7$ $\newline$ Calculate the variance and round your answer to the nearest tenth. $\newline$ $\sigma^2 = (\Sigma(x_i - \mu)^2)/N$ $\newline$ $\sigma^2 = 50/7$ $\newline$ $\sigma^2 \approx 7.1$ (rounded to the nearest tenth)