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.