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