DATA SCIENCE
The Most "Ridiculous" Concept That A Data Scientist Must Know
Explaining the P-value in the most "ridiculous" way
P-value is not an easy and intuitive concept at first (especially if you read its definition on Statistics textbooks or Wiki pages). But, here, I try to explain it simply using a powerful word called "Ridiculous." You must ask why I use a word like ridiculous several times in the last few sentences (I apologize, but it helps). The reason for that is I believe "ridiculous" is a keyword to learn and remember the P-value concept. How? Let me explain it to you.
Disclaimer: Many statisticians and data scientists before me tried to explain the P-value using “ridiculous”. I am not the only person (even the first person) who came up with this explanation of the P-value. This particular word helped me and many other data scientists (and of course statisticians) to have a better understanding of P-value. It may help you too.
How Ridiculous?!!
How many times did you make an assumption and you found out that you were wrong? I assume pretty often. In those situations, you made some hypotheses after observing some pieces of evidence and finally judged or acted based on that. When you found out that you were wrong, you might have…
