Quartiles & IQR Calculator
Calculate Q1, Q2 (median), Q3, interquartile range (IQR), and detect outliers for any dataset.
Enter numbers separated by spaces, commas, or semicolons
How to Use the Quartiles & IQR Calculator
- Enter your data set or statistical values in the input fields.
- Click Calculate to process the data.
- Review the computed result with detailed breakdown.
- Modify inputs or add more data points for further analysis.
مرجع سريع
| من | إلى |
|---|---|
| Mean [2,4,6] | 4 |
| Median [1,3,5,7] | 4 |
| Mode [2,2,3,5] | 2 |
| σ [2,4,4,4,5,5,7,9] | 2 |
| z-score (x=85, μ=70, σ=10) | 1.5 |
| P(A)+P(B)−P(A∩B) | P(A∪B) |
حالات الاستخدام
- •Analyzing data sets for research papers or school projects.
- •Checking statistical calculations before including them in reports.
- •Understanding data distributions and variability in experiments.
- •Making data-driven decisions in business or academic contexts.
الأسئلة الشائعة
What are quartiles?
Quartiles divide a sorted dataset into four equal parts. Q1 (25th percentile), Q2 (50th percentile / median), and Q3 (75th percentile).
What is IQR?
The Interquartile Range (IQR) = Q3 − Q1. It measures the spread of the middle 50% of data and is resistant to outliers.
How are outliers detected?
Using the Tukey fence method: values below Q1 − 1.5×IQR or above Q3 + 1.5×IQR are considered outliers.
How many values do I need?
At least 4 values are required to calculate meaningful quartiles.