Question 1

What is a percentile?

Accepted Answer

A percentile is the value below which a given percentage of observations in a dataset fall. The 80th percentile, for example, is the value that 80% of your data sits at or below.

Question 2

What is the difference between a percentile and a percentage?

Accepted Answer

A percentage is a share of a whole — scoring 80% on a test means you got 80 out of every 100 marks. A percentile is a ranking — scoring in the 80th percentile means you did better than 80% of the people who took the test, regardless of the raw score.

Question 3

What is the 50th percentile called?

Accepted Answer

The 50th percentile is the median. Half of the values in the dataset fall below it and half fall above it.

Question 4

How do you calculate a percentile rank?

Accepted Answer

Count how many values in the dataset fall below your target value, add half the count of values equal to it, divide by the total number of values, and multiply by 100. This calculator uses that inclusive method.

Question 5

What percentile is considered above average?

Accepted Answer

Anything above the 50th percentile is above the median of your dataset. The 75th percentile and above is often described as the top quartile, and the 90th percentile and above as the top decile.

Question 6

What is the difference between quartile and percentile?

Accepted Answer

Quartiles split a dataset into four equal parts — the 25th, 50th, and 75th percentiles. Percentiles split it into 100. Every quartile is a percentile, but most percentiles are not quartiles.

Question 7

Why do different calculators give different percentile results?

Accepted Answer

There are several accepted formulas for percentiles, including nearest-rank, linear interpolation, and the exclusive method used in some spreadsheets. The differences are usually small and only matter for very small datasets.

Question 8

Can I use this for test scores?

Accepted Answer

Yes. Paste in the full list of scores from the class or cohort, then enter the score you want to rank. The result tells you what percentage of scores fall below it.

Question 9

What is an outlier and how does it affect percentiles?

Accepted Answer

An outlier is a value far outside the typical range of the dataset. Percentiles based on ranks are less affected by outliers than averages, but a few extreme values can still pull the spread and the value at a given percentile.

Free Percentile Calculator — Rank Any Dataset Fast

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