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If both the mean and the standard deviation of 50 observatios `x_(1), x_(2),….x_(50)` are equal to 16, then the mean of `(x_(1)-4)^(2), (x_(2)-4)^(2),….,(x_(50)-4)^(2)` is

A

525

B

480

C

400

D

380

Text Solution

AI Generated Solution

The correct Answer is:
To solve the problem step by step, we need to find the mean of the transformed observations \((x_1 - 4)^2, (x_2 - 4)^2, \ldots, (x_{50} - 4)^2\) given that the mean and standard deviation of the original observations \(x_1, x_2, \ldots, x_{50}\) are both equal to 16. ### Step 1: Understand the Given Information We know: - Mean of \(x_i\) (denoted as \(\bar{x}\)) = 16 - Standard deviation of \(x_i\) = 16 - Number of observations, \(n = 50\) ### Step 2: Calculate the Variance The variance (\(\sigma^2\)) is the square of the standard deviation: \[ \sigma^2 = 16^2 = 256 \] ### Step 3: Use the Variance Formula The formula for variance is given by: \[ \sigma^2 = \frac{\sum x_i^2}{n} - \left(\frac{\sum x_i}{n}\right)^2 \] Substituting the known values: \[ 256 = \frac{\sum x_i^2}{50} - 16^2 \] \[ 256 = \frac{\sum x_i^2}{50} - 256 \] ### Step 4: Solve for \(\sum x_i^2\) Rearranging the equation gives: \[ 256 + 256 = \frac{\sum x_i^2}{50} \] \[ 512 = \frac{\sum x_i^2}{50} \] Multiplying both sides by 50: \[ \sum x_i^2 = 512 \times 50 = 25600 \] ### Step 5: Calculate the Mean of the Transformed Observations We need to find the mean of \((x_i - 4)^2\): \[ \text{Mean} = \frac{1}{n} \sum (x_i - 4)^2 \] Expanding the expression: \[ (x_i - 4)^2 = x_i^2 - 8x_i + 16 \] Thus, \[ \sum (x_i - 4)^2 = \sum x_i^2 - 8\sum x_i + \sum 16 \] Substituting the known values: \[ \sum (x_i - 4)^2 = \sum x_i^2 - 8 \cdot (n \cdot \bar{x}) + n \cdot 16 \] \[ = 25600 - 8 \cdot (50 \cdot 16) + 50 \cdot 16 \] Calculating each term: \[ = 25600 - 8 \cdot 800 + 800 \] \[ = 25600 - 6400 + 800 \] \[ = 25600 - 5600 = 20000 \] ### Step 6: Calculate the Final Mean Now, we find the mean: \[ \text{Mean} = \frac{1}{50} \sum (x_i - 4)^2 = \frac{20000}{50} = 400 \] ### Final Answer The mean of \((x_1 - 4)^2, (x_2 - 4)^2, \ldots, (x_{50} - 4)^2\) is **400**. ---
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