The coefficient of variation (C.V.) is defined as the ratio of the standard deviation (\( \sigma \)) to the mean (\( \mu \)) of the distribution, multiplied by 100: \[ \text{C.V.} = \frac{\sigma}{\mu} \times 100 \] We are given:
\( \text{C.V.} = 75 \)
\( \mu = 44 \)
Substitute these values into the formula for C.V: \[ 75 = \frac{\sigma}{44} \times 100 \] Solving for \( \sigma \) (standard deviation): \[ \sigma = \frac{75 \times 44}{100} = \frac{3300}{100} = 33 \]
The correct option is (D) : \(33\)
The coefficient of variation (C.V.) is defined as the ratio of the standard deviation (\(\sigma\)) to the mean (\(\mu\)), expressed as a percentage:
\(C.V. = \frac{\sigma}{\mu} \times 100\)
We are given that C.V. = 75 and the mean \(\mu = 44\). We want to find the standard deviation \(\sigma\).
Plugging in the given values, we have:
\(75 = \frac{\sigma}{44} \times 100\)
Solving for \(\sigma\), we get:
\(\sigma = \frac{75 \times 44}{100} = \frac{3300}{100} = 33\)
Therefore, the standard deviation of the distribution is 33.