Spearman correlation interpretation example

This article illustrates how to calculate percentiles manually and step-by-step, a useful statistical measure for understanding your data.

How to rank data in statistics

No software or coding skills are needed: you only need a piece of paper, a pen, a calculator, and a willingness to do some simple math!

What are Percentiles?

Percentiles are a central tool in statistics. They help understand how data points compare within a dataset in terms of value ranges.

Closely related to the notion of percentage, a percentile tells us the value in a data set below which a determined percentage of instances fall. For example, the 50th percentile in a dataset of numerical exam results for a student cohort tells us the “threshold” mark below which 50% of students in the cohort fall.

Concretely, if this 50th percentile were 65 over 100, that would mean half of the students have marks below 65. Easy, isn’t it?

Unlike averages or medians, which give us indicators of the “center” of the data differently interpreted, percentiles go one step beyond, allowing us to identify where specific points lie concerning

how to find percentile rank in statistics

how to find rank correlation in statistics