Calculation of margin of error of population for Normal distribution

Margin of error

The margin of error is a statistic expressing the amount of random sampling error in a survey's results. The larger the margin of error, the less confidence one should have that the poll's reported results are close to the "true" figures; that is, the figures for the whole population. Margin of error is positive whenever a population is incompletely sampled and the outcome measure has positive variance (that is, it varies).

Formula of margin of error of population means

\[+z*\frac{k}{\sqrt{n}}\] or 

\[-z*\frac{k}{\sqrt{n}}\]

here Z is score ,k is standard deviationand  n is sample size

Boundary conditions

1.Random variable X should be Normal

2. k should be known 

3. n must be greater than equal to 30

Example- for z=1.645 Standard deviation k=0.5 and n =40 we get 0.13

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