Input your dataset values, separated by commas or spaces, click the 'Calculate' button, and analyze the data distribution.
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This Quartile calculator calculates the quartiles (Q1, Q2, Q3) of a dataset and provides key statistics and visual representation to help understand data distribution. It also provides:
Quartiles divide a dataset into four equal parts. The three quartiles (Q1, Q2, Q3) create four intervals, each containing roughly 25% of the data points.
Q1 – Lower Quartile: The 25th percentile of the data; 25% of values fall below Q1 and 75% above it.
Q2 – Median Quartile: The median of the dataset; 50% of values fall below and 50% above.
Q3 – Upper Quartile: The 75th percentile; 75% of values fall below Q3 and 25% above it.
Interquartile Range (IQR): Measures the spread of the middle 50% of the dataset: $$ IQR = Q3 - Q1 $$
Use the IQR calculator for instant calculations.
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$$ IQR = Q3 - Q1 $$
Dataset: 2, 7, 9, 11, 13, 23, 16
2, 7, 9, 11, 13, 16, 23
n = 7
Position: $$ Q1 = (n+1) \times \frac{1}{4} = 2 $$
Q1 = 2nd value = 7
Position: $$ Q2 = (n+1) \times \frac{2}{4} = 4 $$
Q2 = 4th value = 11
Position: $$ Q3 = (n+1) \times \frac{3}{4} = 6 $$
Q3 = 6th value = 16
$$ IQR = Q3 - Q1 = 16 - 7 = 9 $$
Use the online quartile calculator to quickly determine quartiles and visualize the IQR.
For quick calculations, use our statistics quartile calculator.
The difference between the lower and the third quartile is the interquartile range (IQR). It helps to understand the spread of the middle 50% of data.
IQR = Q3-Q1
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