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In the data set below, what is the variance?\newline2,7,1,2,5,42, 7, 1, 2, 5, 4\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?\newline2,7,1,2,5,42, 7, 1, 2, 5, 4\newlineIf the answer is a decimal, round it to the nearest tenth.\newlinevariance (σ2)(\sigma^2): _____
  1. Data Set: Data set: 2,7,1,2,5,42, 7, 1, 2, 5, 4\newlineMean μ=3.5\mu = 3.5\newlineCalculate the sum of the squared deviations from the mean Σ(xiμ)2\Sigma(x_i - \mu)^2.\newline(23.5)2+(73.5)2+(13.5)2+(23.5)2+(53.5)2+(43.5)2(2 - 3.5)^2 + (7 - 3.5)^2 + (1 - 3.5)^2 + (2 - 3.5)^2 + (5 - 3.5)^2 + (4 - 3.5)^2\newline=(1.5)2+(3.5)2+(2.5)2+(1.5)2+(1.5)2+(0.5)2= (-1.5)^2 + (3.5)^2 + (-2.5)^2 + (-1.5)^2 + (1.5)^2 + (0.5)^2\newline=2.25+12.25+6.25+2.25+2.25+0.25= 2.25 + 12.25 + 6.25 + 2.25 + 2.25 + 0.25\newline$= \(25\).\(5\)
  2. Calculate Sum of Squared Deviations: We have:\(\newline\)\(\Sigma(x_i - \mu)^2= 25.5\)\(\newline\)Number of data points \(N= 6\)\(\newline\)Calculate the variance \(\sigma^2\) and round your answer to the nearest tenth.\(\newline\)\(\sigma^2 = (\Sigma(x_i - \mu)^2)/N\)\(\newline\)\(\sigma^2 = 25.5/6\)\(\newline\)\(\sigma^2 = 4.25\)\(\newline\)Since we need to round to the nearest tenth, \(\sigma^2 \approx 4.3\)

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