Confidence intervals are everywhere in statistics. They are meant to show how sure we are about a number, like an average or a proportion. But here is the catch: they do not actually tell you how confident you should be about the specific interval you have right now. That misunderstanding creates what I call The […]
“Numbers don’t lie, but they sure can mislead.” You’ve probably heard this before, and in the world of statistics, it couldn’t be more accurate. People often hail averages as the go-to statistic for summarizing data, but here’s the catch: if you rely on averages without digging deeper, you might miss the true story or, worse, […]
Hello you! Okay, today I decided to break formal language because we have delicious content. Have you ever heard of hexbins? If not, it’s fine; if yes, it’s also fine. Today, I’ll try to show the pros of hexbins over scatter plots (which you are familiar with, I suppose) in large datasets. Why Use Hexbins […]
In the world of statistics and data science, the term “p-value” often comes up, but many people find it confusing. The definition is simple; however, understanding it can be a bit confusing. This article is prepared to make it easy to understand. You don’t need to be a data scientist or a genius university student. […]