Standard Error Calculator

Work out the standard error of a sample mean: how far it is likely to be from the true population mean.

Your details

Separate the values with commas or spaces

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Result

Enter the sample data separated by commas, then press “Calculate”.

Analysis and suggestions

Once calculated, this shows what your result means and suggestions based on your numbers.

Behind the result

Work out the standard error of a sample mean: how far it is likely to be from the true population mean.

Example · الخطأ المعياري = الانحراف المعياري للعينة ÷ √n | الخطأ النسبي = الخطأ المعياري ÷ المتوسط × 100%

11.3192 ÷ √n = 4.002

How it is calculated

Comprehensive Calculator Guide

This calculator works out the standard error of the mean, the sample SD divided by √n, and the relative standard error, showing how precisely a sample mean estimates the population mean. Eight marks with mean 83.1 and SD 11.3 give an SE of 4.0.

SE vs SD

The SD describes individuals; the SE describes the mean and shrinks with sample size: four times the data halves it. A rough 95% interval is mean ± 2 SE for large samples.

How to Use

  1. Enter the sample data.
  2. At least two values.
  3. Press “Calculate” to see the SE, mean, SD and RSE.

Formula Used

SE = s ÷ √n | RSE = SE ÷ mean × 100%

Practical Examples

Example 1
Marks: SE ≈ 4.0.
Example 2
Reaction times: SE ≈ 0.0069 s.

Important Tips

  • Report n with the SE.
  • Quadruple n to halve it.
  • SD for people, SE for the mean.

Common Mistakes to Avoid

  • Reporting SE as SD.
  • Dividing by n.
  • Using ±2 SE for tiny samples.

Frequently Asked Questions

SE vs SD?
SE is the mean’s precision.
How is it calculated?
s ÷ √n.
95% interval?
About mean ± 2 SE.

Read Also

Results are estimates for educational purposes and may vary depending on your situation and data sources.