Concept:
No of observations
\(N = {\left( {\frac{{{C_V}}}{ϵ}} \right)^2}\)
Where,
ϵ = allowable % error of mean
Cv = coefficient of variation.
\(C_v= \frac{\sigma}{\bar{x}}~\times 100\)
σ = Standard deviation, x̅ = Mean
Calculation:
Given:
x̅ = 80, σ = 12, N = 100
\(C_v= \frac{\sigma}{\bar{x}}~\times 100\)
\({C_v} = \frac{{12}}{{80}} × 100\)
Cv = 15%
\(N = {\left( {\frac{{{C_V}}}{ϵ}} \right)^2}\)
\(100 = {\left( {\frac{{{15}}}{ϵ}} \right)^2}\)
ϵ = 1.5%
The standard error of mean = mean × percentage of absolute mean error = \(80\times {{1.5} \over 100}\) = 1.2