Quartile Calculator
First Quartile (Q1)
The First Quartile (Q1) is the value below which the lowest 25% of the dataset lies. It represents the boundary between the lowest quarter and the rest of the data.
How to calculate:
- Sort the dataset in ascending order.
- Divide the dataset into two halves.
- Find the median of the lower half (excluding the median if the dataset has an odd number of values).
Example:
Dataset:
Lower half:
Q1 = Median of = 4
Second Quartile (Q2)
The Second Quartile (Q2) is the median, dividing the dataset into two equal halves. It represents the 50th percentile.
How to calculate:
- Sort the dataset in ascending order.
- If the dataset has an odd number of values, the middle value is the median.
- If it has an even number of values, the median is the average of the two middle values.
Example:
Dataset:
Q2 = Median of the dataset = 8
Third Quartile (Q3)
The Third Quartile (Q3) is the value below which 75% of the data lies. It represents the boundary between the top 25% and the rest of the dataset.
How to calculate:
- Sort the dataset in ascending order.
- Divide the dataset into two halves.
- Find the median of the upper half (excluding the median if the dataset has an odd number of values).
Example:
Dataset:
Upper half:
Q3 = Median of = 12
Interquartile Range (IQR)
The Interquartile Range (IQR) is the range of the middle 50% of the dataset, calculated as the difference between Q3 and Q1.
Formula:
Example:
Q3 = 12, Q1 = 4
IQR =
Median
The Median is the central value of a sorted dataset, dividing it into two equal halves.
x̃ (Mean)
The Mean, denoted by , is the arithmetic average of the dataset.
Formula:
Example:
Dataset:
Mean =
Minimum
The Minimum is the smallest value in the dataset.
Example:
Dataset:
Minimum = 2
Maximum
The Maximum is the largest value in the dataset.
Example:
Dataset:
Maximum = 14
Range
The Range measures the difference between the maximum and minimum values.
Formula:
Example:
Maximum = 14, Minimum = 2
Range =