The population is the complete data and the sample is the subset of population data.
Sampling Error is the difference between the population value and the sample statistic value used to estimate it.
- Difference between the population means and sample mean.
- Difference between population standard deviation and sample standard deviation.
Sampling Error Formula
Sampling Error = confidence level × [standard deviation of population / (square root of sample size)]
Sampling Error can be reduced by increasing the sample size.