An R Introduction to Statistics

Sampling Size of Population Mean

The quality of a sample survey can be improved by increasing the sample size. The formula below provide the sample size needed under the requirement of population mean interval estimate at (1 −α) confidence level, margin of error E, and population variance σ2. Here, zα∕2 is the 100(1 − α∕2) percentile of the standard normal distribution.

         2 2
n = (zα∕2)σ--
      E2

Problem

Assume the population standard deviation σ of the student height in survey is 9.48. Find the sample size needed to achieve a 1.2 centimeters margin of error at 95% confidence level.

Solution

Since there are two tails of the normal distribution, the 95% confidence level would imply the 97.5th percentile of the normal distribution at the upper tail. Therefore, zα∕2 is given by qnorm(.975).

> zstar = qnorm(.975) 
> sigma = 9.48 
> E = 1.2 
> zstar^2 ∗ sigma^2/ E^2 
[1] 239.75

Answer

Based on the assumption of population standard deviation being 9.48, it needs a sample size of 240 to achieve a 1.2 centimeters margin of error at 95% confidence level.