For a frequency distribution standard deviation is computed by applying the formula (a) $σ = \frac{\sum f d ^{2}}{\sum f} - (\frac{\sum f d}{\sum f})^{2}$ (b) $σ = (\frac{\sum f d}{\sum f})^{2} - \frac{\sum f d ^{2}}{\sum f}$ (c) $σ = \frac{\sum f d ^{2}}{\sum f} - \frac{\sum f d}{\sum f}$ (d) $σ = (\frac{\sum f d}{\sum f})^{2} - \frac{\sum f d ^{2}}{\sum f}$

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For a frequency distribution standard deviation is computed by applying the formula (a)

σ = \frac{\sum f d ^{2}}{\sum f} - (\frac{\sum f d}{\sum f})^{2}

(b)

σ = (\frac{\sum f d}{\sum f})^{2} - \frac{\sum f d ^{2}}{\sum f}

(c)

σ = \frac{\sum f d ^{2}}{\sum f} - \frac{\sum f d}{\sum f}

(d)

σ = (\frac{\sum f d}{\sum f})^{2} - \frac{\sum f d ^{2}}{\sum f}

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Question Text

For a frequency distribution standard deviation is computed by applying the formula (a)

σ = \frac{\sum f d ^{2}}{\sum f} - (\frac{\sum f d}{\sum f})^{2}

(b)

σ = (\frac{\sum f d}{\sum f})^{2} - \frac{\sum f d ^{2}}{\sum f}

(c)

σ = \frac{\sum f d ^{2}}{\sum f} - \frac{\sum f d}{\sum f}

(d)

σ = (\frac{\sum f d}{\sum f})^{2} - \frac{\sum f d ^{2}}{\sum f}

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