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In the data set below, what is the variance?\newline8,1,3,3,1,28, 1, 3, 3, 1, 2\newlineIf the answer is a decimal, round it to the nearest tenth.\newlinevariance (σ2)(\sigma^2): _____

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Q. In the data set below, what is the variance?\newline8,1,3,3,1,28, 1, 3, 3, 1, 2\newlineIf the answer is a decimal, round it to the nearest tenth.\newlinevariance (σ2)(\sigma^2): _____
  1. Calculate Sum of Squared Differences: Now, let's calculate the sum of the squared differences from the mean.\newlineΣ(ximean)2=(83)2+(13)2+(33)2+(33)2+(13)2+(23)2\Sigma(x_i - \text{mean})^2 = (8 - 3)^2 + (1 - 3)^2 + (3 - 3)^2 + (3 - 3)^2 + (1 - 3)^2 + (2 - 3)^2\newlineΣ(ximean)2=25+4+0+0+4+1\Sigma(x_i - \text{mean})^2 = 25 + 4 + 0 + 0 + 4 + 1\newlineΣ(ximean)2=34\Sigma(x_i - \text{mean})^2 = 34
  2. Find Variance: Finally, we'll divide the sum of squared differences by the number of data points to find the variance.\newlinevariance σ2\sigma^2 = Σ(ximean)2N\frac{\Sigma(x_i - \text{mean})^2}{N}\newlinevariance σ2\sigma^2 = 346\frac{34}{6}\newlinevariance σ2\sigma^2 = 55.666666...\newlineRounded to the nearest tenth, variance σ2\sigma^2 5.7\approx 5.7

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