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.**

For example

- 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.**