Simpson's Paradox is a phenomenon where the grouped up data shows a particular trend or a particular inference which vanishes or reverses if the data be ungrouped. In other words, what is true for the parts is not necessarily true for the whole. The underlying reason for this paradox is the confounding factor which gets hidden in the grouped data. These factors can be uncovered if one analyses the cause and effect relationship in the data
An application-oriented question on the topic along with responses can be seen below. The best answer was provided by
R Rajesh on 07th June 2019.
Applause for all the respondents- R Rajesh, Sreyash Sangam.