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In the data set below, what is the variance?\newline6,2,9,3,6,7,96, 2, 9, 3, 6, 7, 9\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?\newline6,2,9,3,6,7,96, 2, 9, 3, 6, 7, 9\newlineIf the answer is a decimal, round it to the nearest tenth.\newlinevariance (σ2)(\sigma^2): _____
  1. Calculate Sum Squared Differences: Now, let's calculate the sum of the squared differences from the mean.\newlineΣ(ximean)2=(66)2+(26)2+(96)2+(36)2+(66)2+(76)2+(96)2\Sigma(x_i - \text{mean})^2 = (6 - 6)^2 + (2 - 6)^2 + (9 - 6)^2 + (3 - 6)^2 + (6 - 6)^2 + (7 - 6)^2 + (9 - 6)^2\newlineΣ(ximean)2=0+16+9+9+0+1+9\Sigma(x_i - \text{mean})^2 = 0 + 16 + 9 + 9 + 0 + 1 + 9\newlineΣ(ximean)2=44\Sigma(x_i - \text{mean})^2 = 44
  2. Calculate Variance: Finally, we calculate the variance by dividing the sum of squared differences by the number of data points. \newlineVariance σ2\sigma^2 = Σ(ximean)2N\frac{\Sigma(x_i - \text{mean})^2}{N}\newlineVariance σ2\sigma^2 = 447\frac{44}{7}\newlineVariance σ2\sigma^2 6.3\approx 6.3 (rounded to the nearest tenth)

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