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For a set of 100 observation taking assumed mean as 4, the sum of deviations is -11 cm and the sum of squares of these deviations is 257cm. The coefficient of variation is?
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For a set of 100 observation taking assumed mean as 4, the sum of devi...
Given:

  • Number of observations (n) = 100

  • Assumed mean (A) = 4

  • Sum of deviations (∑d) = -11 cm

  • Sum of squares of deviations (∑d²) = 257cm



Calculating Coefficient of Variation:

Coefficient of Variation (CV) is the ratio of the standard deviation to the mean expressed as a percentage. It is used to measure the variability of a dataset relative to its mean.

The formula for CV is:

CV = (Standard Deviation / Mean) x 100

Calculating Mean:

Mean is calculated using the formula:

Mean (x̄) = Assumed Mean + (∑d/n)

Given A = 4 and ∑d = -11, we get:

x̄ = 4 + (-11/100) = 3.89 cm

Calculating Standard Deviation:

Standard Deviation (σ) is calculated using the formula:

σ = √(∑d²/n) - ( ∑d/n )²

Given ∑d² = 257 and n = 100, we get:

σ = √(257/100) - (-11/100)² = 1.61 cm

Calculating Coefficient of Variation:

Using the values of Mean and Standard Deviation, we can calculate the Coefficient of Variation (CV) as follows:

CV = (Standard Deviation / Mean) x 100

CV = (1.61/3.89) x 100 = 41.41%

Conclusion:

The Coefficient of Variation for the given set of 100 observations is 41.41%. This indicates that the dataset is moderately variable relative to its mean.
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For a set of 100 observation taking assumed mean as 4, the sum of devi...
 41.38
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For a set of 100 observation taking assumed mean as 4, the sum of deviations is -11 cm and the sum of squares of these deviations is 257cm. The coefficient of variation is?
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