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The sum of squares of deviations of 10 i...

The sum of squares of deviations of 10 items about mean 50 is 250. The coefficient of variation is

A

`10%`

B

`50%`

C

`30%`

D

none of these

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The correct Answer is:
To solve the problem step by step, we will find the coefficient of variation using the given data. ### Step 1: Identify the given data - Number of items (n) = 10 - Mean (X̄) = 50 - Sum of squares of deviations (Σ(Xi - X̄)²) = 250 ### Step 2: Calculate the variance The formula for variance (σ²) is given by: \[ \sigma^2 = \frac{\Sigma (X_i - X̄)^2}{n} \] Substituting the values we have: \[ \sigma^2 = \frac{250}{10} = 25 \] ### Step 3: Calculate the standard deviation The standard deviation (σ) is the square root of the variance: \[ \sigma = \sqrt{\sigma^2} = \sqrt{25} = 5 \] ### Step 4: Calculate the coefficient of variation The formula for the coefficient of variation (CV) is: \[ CV = \frac{\sigma}{X̄} \times 100 \] Substituting the values we have: \[ CV = \frac{5}{50} \times 100 = 10\% \] ### Final Answer The coefficient of variation is **10%**. ---
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ML KHANNA-MEASURES OF CENTRAL TENDENCY -Problem Set (1) (Measures of Disperation)
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