Q-Q Plots Explained
“Understanding the concept of Q-Q plots”.
In Statistics, Q-Q(quantile-quantile) plots play a very vital role to graphically analyze and compare two probability distributions by plotting their quantiles against each other. If the two distributions which we are comparing are exactly equal then the points on the Q-Q plot will perfectly lie on a straight line y = x.
“Draw graph, draw line, tell me if you think it’s fine!” — Josh Starmer
Yes, it’s just that simple. Being a data scientist or in general a statistician, it’s very important for you to know whether the distribution is normal or not so as to apply various statistical measures on the data and interpret it in much more human-understandable visualization and there Q-Q plot comes into the picture. The most fundamental question answered by Q-Q plot is:
Is this curve Normally Distributed?
Normally distributed, but why?
Q-Q plots are used to find the type of distribution for a random variable whether it be a Gaussian Distribution, Uniform Distribution, Exponential Distribution, or even Pareto Distribution, etc. You can…
