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The sum of deviations of a set of values...

The sum of deviations of a set of values `x_(1),x_(2),......,x_(n)` measured from 20 is 8 and the sum of deviations of the value from 18 is 52. The value of n and the mean is

A

22,20.36

B

25, 49.5

C

30,50.5

D

35,50.6

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The correct Answer is:
To solve the problem, we need to find the value of \( n \) and the mean of the set of values \( x_1, x_2, \ldots, x_n \) given the sum of deviations from two different points. ### Step 1: Set up the equations based on the information provided. 1. The sum of deviations from 20 is given as 8: \[ \sum_{i=1}^{n} (x_i - 20) = 8 \] This can be rewritten as: \[ \sum_{i=1}^{n} x_i - 20n = 8 \] Thus, we can express the sum of the values: \[ \sum_{i=1}^{n} x_i = 20n + 8 \quad \text{(Equation 1)} \] 2. The sum of deviations from 18 is given as 52: \[ \sum_{i=1}^{n} (x_i - 18) = 52 \] This can be rewritten as: \[ \sum_{i=1}^{n} x_i - 18n = 52 \] Thus, we can express the sum of the values: \[ \sum_{i=1}^{n} x_i = 18n + 52 \quad \text{(Equation 2)} \] ### Step 2: Set the two equations equal to each other. From Equation 1 and Equation 2, we have: \[ 20n + 8 = 18n + 52 \] ### Step 3: Solve for \( n \). Rearranging the equation: \[ 20n - 18n = 52 - 8 \] \[ 2n = 44 \] \[ n = \frac{44}{2} = 22 \] ### Step 4: Find the mean. Now that we have \( n = 22 \), we can find the mean using the sum of the values. We can substitute \( n \) back into either Equation 1 or Equation 2. Let's use Equation 1: \[ \sum_{i=1}^{n} x_i = 20n + 8 = 20(22) + 8 = 440 + 8 = 448 \] Now, the mean \( \bar{x} \) is given by: \[ \bar{x} = \frac{\sum_{i=1}^{n} x_i}{n} = \frac{448}{22} \] Calculating this: \[ \bar{x} = 20.36 \] ### Final Results Thus, the value of \( n \) is \( 22 \) and the mean is \( 20.36 \). ---
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