Outlier Calculator
Detect outliers in a data set using the 1.5×IQR rule.
Input Data
Data
Results
Detected outliers.
1
Explanatory note about the result.
Q1=11.5, Q3=13, IQR=1.5；界 [9.25, 15.25]。離群值：100。
At a glance:Compute Q1, Q3 and IQR; outliers are outside [Q1−1.5·IQR, Q3+1.5·IQR]. Complements quartile and box-plot statistics.
Formula
bounds = [Q1−1.5·IQR, Q3+1.5·IQR].
How to Use
- Enter comma-separated numbers.
- The tool returns outliers.
Case Studies
1,2,3,100
upper bound = Q3+1.5·IQR; 100 is an outlier.
FAQ
Why 1.5×IQR?
A standard Tukey threshold for 'far out' points in a box plot.
Related Tools
References
Content review: Calculatorism Science Team. Results are for reference only; please refer to the relevant authorities for the official figures.