Descriptive Statistics
Quartile Calculator
Segment raw data horizons into four equal proportional percentiles while isolating structural outliers.
Interquartile Distributions and Bounds
Quartiles slice a sorted quantitative array into four segments, with each representing exactly 25% of the total sample count. This method enables the isolation of the Interquartile Range (IQR), the most robust dispersion threshold to evaluate populations without skew from extreme observations.
First Quartile (Q₁)The 25th percentile mark. Splits the lower quarter of data points from the rest.
Second Quartile (Q₂)The Median (50th percentile). Divides the population stream precisely in half.
Third Quartile (Q₃)The 75th percentile mark. Isolates the top 25% highest numerical values.
Population Dataset Entry
Calculated Distribution Quartiles
First Quartile (Q₁)
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Second Quartile (Q₂ / Median)
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Third Quartile (Q₃)
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Min to Q₁
Q₁ to Q₂
Q₂ to Q₃
Q₃ to Max