📊 Median Calculator
Median Value
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Middle Value
Mean (Average)
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Arithmetic Mean
Data Count
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Total Values
Range
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Max - Min
Central Tendency Measures
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Dispersion Measures
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Quartile Analysis
| Quartile | Value | Percentage | Description |
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Data Summary
| Summary | Value |
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💡 Statistical Analysis Summary:
📚 Median Calculator Guide:
What is Median?
The median is the middle value in a dataset when arranged in order. If the dataset has an odd number of values, the median is the middle value. If it has an even number of values, the median is the average of the two middle values. The median is a measure of central tendency that is less affected by outliers compared to the mean.
Key Statistical Measures:
✓ Median: Middle value of sorted data
✓ Mean (Average): Sum of all values divided by count
✓ Mode: Most frequently occurring value
✓ Range: Difference between maximum and minimum
✓ Variance: Average squared deviation from mean
✓ Standard Deviation: Square root of variance
✓ Quartiles: Values dividing data into four equal parts
How to Calculate Median:
For Odd Number of Values:
1. Sort data in ascending order
2. Find the middle value
3. Example: 1, 3, 5, 7, 9 → Median = 5
For Even Number of Values:
1. Sort data in ascending order
2. Find the two middle values
3. Calculate their average
4. Example: 1, 3, 5, 7 → Median = (3 + 5) / 2 = 4
Quartiles Explanation:
✓ Q1 (First Quartile): 25th percentile - 25% of data below
✓ Q2 (Second Quartile): 50th percentile = Median
✓ Q3 (Third Quartile): 75th percentile - 75% of data below
✓ IQR (Interquartile Range): Q3 - Q1
When to Use Median vs Mean:
✓ Use Median: When data has outliers or is skewed
✓ Use Mean: When data is normally distributed
✓ Example: House prices often use median due to outlier mansions
Standard Deviation Interpretation:
✓ Small Std Dev: Data points close to mean (consistent)
✓ Large Std Dev: Data points spread out (variable)
✓ 68-95-99.7 Rule: Normal distribution bounds
What is Median?
The median is the middle value in a dataset when arranged in order. If the dataset has an odd number of values, the median is the middle value. If it has an even number of values, the median is the average of the two middle values. The median is a measure of central tendency that is less affected by outliers compared to the mean.
Key Statistical Measures:
✓ Median: Middle value of sorted data
✓ Mean (Average): Sum of all values divided by count
✓ Mode: Most frequently occurring value
✓ Range: Difference between maximum and minimum
✓ Variance: Average squared deviation from mean
✓ Standard Deviation: Square root of variance
✓ Quartiles: Values dividing data into four equal parts
How to Calculate Median:
For Odd Number of Values:
1. Sort data in ascending order
2. Find the middle value
3. Example: 1, 3, 5, 7, 9 → Median = 5
For Even Number of Values:
1. Sort data in ascending order
2. Find the two middle values
3. Calculate their average
4. Example: 1, 3, 5, 7 → Median = (3 + 5) / 2 = 4
Quartiles Explanation:
✓ Q1 (First Quartile): 25th percentile - 25% of data below
✓ Q2 (Second Quartile): 50th percentile = Median
✓ Q3 (Third Quartile): 75th percentile - 75% of data below
✓ IQR (Interquartile Range): Q3 - Q1
When to Use Median vs Mean:
✓ Use Median: When data has outliers or is skewed
✓ Use Mean: When data is normally distributed
✓ Example: House prices often use median due to outlier mansions
Standard Deviation Interpretation:
✓ Small Std Dev: Data points close to mean (consistent)
✓ Large Std Dev: Data points spread out (variable)
✓ 68-95-99.7 Rule: Normal distribution bounds