Enter the z score, population standard deviation, and sample size to determine the sampling error.

- T Statistic Calculator (T-Value)
- Z-Score Calculator
- Confidence Interval Calculator (1 or 2 means)
- Inter-Rater Reliability Calculator
- Sturges’ Rule Calculator

## Sampling Error Formula

The following formula is used to calculate a sampling error.

**E = Z * STD/Sqrt(N)**

- Where E is the sampling error
- Z is the z – score
- STD is the population standard deviation
- N is the sample size

## Sampling Error Definition

A sampling error is defined as the inherent error in the selection of a sample of data from a greater population of data.

## Sampling Error Example

How to calculate sampling error?

**First, determine the Z-score.**Using the confidence level, determine the z-score.

**Next, determine the population standard deviation.**Calculate the standard deviation of the entire population.

**Next, determine the sample size.**Measure the sample size used for the analysis.

**Finally, calculate the sampling error.**Calculate the sampling error.

## FAQ

**What is a sampling error?**

A sampling error is an error in a statistical analysis due to improper sampling of the data. In other words, how much error is expected to occur based on the sample selected.