What the tool does, how to run it, and what to expect from the result.
Sort the data and find position h = (n − 1) × p ÷ 100 counting from 0; interpolate between the neighbours. For 15, 20, 35, 40, 50 and p = 40: h = 1.6, between 20 and 35, so 20 + 0.6 × 15 = 29. The nearest-rank method instead takes the value at rank ⌈p × n ÷ 100⌉ = 2: 20. Percentile rank goes the other way: 35 has 2 values below it and 1 equal, (2 + 0.5) ÷ 5 = 50%.
A quick way to understand who this helps, what it solves, and where it connects next.
Students, teachers, analysts and researchers working with data.
Using the percentile calculator without installing anything or signing up.
Short answers for the questions people usually have before trying a utility like this.
There are several accepted definitions. Linear interpolation (Excel PERCENTILE.INC, Google Sheets, NumPy) is the most common; exam boards sometimes teach nearest rank.
A percentage is a score out of 100; a percentile says what share of people scored lower. 70% on a test could be the 90th percentile if the test was hard.
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There is no single standard definition of a percentile; linear interpolation is what Excel, Google Sheets and NumPy use by default.