Outlier Calculator

Find the outliers in your data with the interquartile-range rule, with the lower and upper fences.

Your details

Separate the values with commas or spaces

Your data stays in your browser

Result

Enter the data separated by commas, then press “Find outliers”.

Analysis and suggestions

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

Behind the result

Find the outliers in your data with the interquartile-range rule, with the lower and upper fences.

Example · الحد الأدنى = Q1 − 1.5 × IQR | الحد الأعلى = Q3 + 1.5 × IQR | القيمة خارجهما متطرفة

[8.5, 24.5]

How it is calculated

Comprehensive Calculator Guide

This calculator finds outliers with the 1.5 × IQR rule and gives the lower and upper fences outside which a value counts as an outlier. In 12, 14, 15, 15, 16, 17, 18, 19, 45 the fences are 8.5 and 24.5, so 45 is an outlier. It explains how outliers affect the mean and what to do about them.

Tukey’s fences

Lower fence = Q1 − 1.5 × IQR; upper = Q3 + 1.5 × IQR. Don’t drop outliers automatically: fix entry or measurement errors, keep real ones, and use robust measures such as the median.

How to Use

  1. Enter at least four values.
  2. No need to sort.
  3. Press “Find outliers” to see them and the fences.

Formula Used

Fences: Q1 − 1.5 × IQR and Q3 + 1.5 × IQR

Practical Examples

Example 1
Fences 8.5 and 24.5; 45 is out.
Example 2
Salaries: 25,000 is out.

Important Tips

  • Check each outlier’s source.
  • Use the median when keeping them.
  • Try z-scores for big data.

Common Mistakes to Avoid

  • Deleting outliers blindly.
  • Using the rule on tiny data.
  • Judging by eye.

Frequently Asked Questions

What is an outlier?
A value beyond the fences.
Delete it?
Only if it is an error.
Why 1.5?
Tukey’s convention.

Read Also

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