For 100 observations \(\sum(x i-30)=0\) and \(\sum(x i-30)^{2}=10000\) then C.V. (coefficient of variance) is \(\%\) (a) 10 (b) 100 (c) \(33.33\) (d) 30

Short Answer

Expert verified
The coefficient of variation (C.V.) is \(33.33\%\).

Step by step solution

01

Find the mean (µ)

Since we know that \(\sum(x_i - 30) = 0\), we can write this as \(\sum x_i - \sum 30 = 0\) Now, since there are 100 observations, \(\sum 30 = 30\times 100\), which means \(\sum x_i - 3000 = 0\) So, the sum of all x_i is \(\sum x_i = 3000\) Now, we can find the mean as follows: \(\mu = \frac{\sum x_i}{n}\) Where n is the number of observations (100 in this case). \(\mu = \frac{3000}{100} = 30\).
02

Find the variance (σ^2)

We have given that \(\sum(x_i - 30)^2 = 10000\). Now, let's find the variance, σ^2. Variance, σ^2 is defined as: \(\sigma^2 = \frac{\sum(x_i - \mu)^2}{n}\) We know that: - n = 100 (number of observations) - µ = 30 (mean of the dataset) Substituting the values: \(\sigma^2 = \frac{10000}{100} = 100\)
03

Find the standard deviation (σ)

To find the standard deviation (σ), we need to find the square root of the variance (σ^2). \(\sigma = \sqrt{100} = 10\)
04

Compute the Coefficient of Variation (C.V.)

Now that we have both the mean (µ) and standard deviation (σ), we can calculate the coefficient of variation (C.V.) as follows: C.V. = \(\frac{\sigma}{\mu} \times 100\%\) C.V. = \(\frac{10}{30} \times 100\%\) C.V. = \(33.33 \%\) So, the correct answer is (c) \(33.33\%\).

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