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The mean of 40 observations 20 and their...

The mean of 40 observations 20 and their standard deviation is 5. If the sum of the square of the observations k, then the value of `(k)/(1000)` is

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To solve the problem step by step, we will use the information given about the mean, standard deviation, and the number of observations. ### Step 1: Understand the given information We are given: - Number of observations (n) = 40 - Mean (x̄) = 20 - Standard deviation (σ) = 5 ### Step 2: Write the formula for standard deviation The formula for standard deviation is: \[ \sigma = \sqrt{\frac{\sum (x_i^2)}{n} - \left(\frac{\sum x_i}{n}\right)^2} \] Where: - \( \sum (x_i^2) \) is the sum of the squares of the observations. - \( \sum x_i \) is the sum of the observations. ### Step 3: Calculate the sum of observations Since the mean is given, we can find the sum of the observations: \[ \sum x_i = n \cdot x̄ = 40 \cdot 20 = 800 \] ### Step 4: Substitute values into the standard deviation formula Now, substituting the known values into the standard deviation formula: \[ 5 = \sqrt{\frac{\sum (x_i^2)}{40} - \left(\frac{800}{40}\right)^2} \] Calculating \( \left(\frac{800}{40}\right)^2 \): \[ \left(\frac{800}{40}\right)^2 = 20^2 = 400 \] Thus, the equation becomes: \[ 5 = \sqrt{\frac{\sum (x_i^2)}{40} - 400} \] ### Step 5: Square both sides to eliminate the square root Squaring both sides gives: \[ 25 = \frac{\sum (x_i^2)}{40} - 400 \] ### Step 6: Rearrange the equation to solve for \( \sum (x_i^2) \) Adding 400 to both sides: \[ 25 + 400 = \frac{\sum (x_i^2)}{40} \] \[ 425 = \frac{\sum (x_i^2)}{40} \] ### Step 7: Multiply both sides by 40 To find \( \sum (x_i^2) \): \[ \sum (x_i^2) = 425 \cdot 40 = 17000 \] ### Step 8: Identify \( k \) From the problem, we know that \( k = \sum (x_i^2) = 17000 \). ### Step 9: Calculate \( \frac{k}{1000} \) Finally, we need to find: \[ \frac{k}{1000} = \frac{17000}{1000} = 17 \] ### Final Answer Thus, the value of \( \frac{k}{1000} \) is **17**. ---
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