Median, Lower Quartile, Upper Quartile Calculator
Expert Guide to Median, Lower Quartile, and Upper Quartile
Module A: Introduction & Importance
Median, lower quartile, and upper quartile are key measures in statistical analysis, helping to understand data distribution and identify outliers. This calculator simplifies these calculations, making it an essential tool for data analysis.
Module B: How to Use This Calculator
- Enter comma-separated data in the input field.
- Click ‘Calculate’.
- View results below the calculator.
Module C: Formula & Methodology
The median is the middle value when data is ordered. Quartiles divide data into four equal parts.
Lower quartile (Q1) = (n/4)th value, Upper quartile (Q3) = (3n/4)th value, where n is the total number of data points.
Module D: Real-World Examples
Example 1: Salaries
| Employee | Salary |
|---|---|
| 1 | 50,000 |
| 2 | 60,000 |
| 3 | 70,000 |
| 4 | 80,000 |
| 5 | 90,000 |
Median: 70,000, Q1: 60,000, Q3: 80,000
Example 2: Test Scores
Module E: Data & Statistics
| Data Set | Median | Lower Quartile | Upper Quartile |
|---|---|---|---|
| Set 1 | 50 | 30 | 70 |
| Set 2 | 65 | 45 | 80 |
Module F: Expert Tips
- Use these measures to identify data spread and skewness.
- Compare data sets using these values for a quick understanding.
Module G: Interactive FAQ
What is the difference between median and mean?
The mean is the average, while the median is the middle value.
Office for National Statistics – Official UK statistics.
Kaggle – Data science competitions and datasets.