If the variance and coefficient of variance of a series are respective...
Calculation of the average of the series
Given, variance (σ²) = 16 and coefficient of variance (CV) = 20
Calculation of standard deviation (σ)
We know that CV = (σ / mean) × 100
Therefore, σ = (CV / 100) × mean
Putting the given values, we get:
16 = σ²
20 = (σ / mean) × 100
σ = 4
Calculation of mean
We know that variance (σ²) = [(sum of squares of deviations from mean) / number of observations]
Therefore, 16 = [(sum of squares of deviations from mean) / number of observations]
Also, we know that standard deviation (σ) = root of variance (σ²)
Therefore, σ = root of 16
σ = 4
Now, we can use the formula:
σ = root of [(sum of squares of deviations from mean) / number of observations]
4 = root of [(sum of squares of deviations from mean) / number of observations]
Squaring both sides, we get:
16 = (sum of squares of deviations from mean) / number of observations
Multiplying both sides by number of observations, we get:
16 × number of observations = sum of squares of deviations from mean
Assuming the number of observations to be 'n', we get:
16n = sum of squares of deviations from mean
Conclusion
We have two equations:
σ = (CV / 100) × mean
16n = sum of squares of deviations from mean
We can solve these two equations simultaneously to get the value of mean. However, we need one more equation to solve for mean.
Hence, we cannot calculate the average of the series with the given information.