This article will explain a statistical modeling technique with an example. I will explain a logistic regression modeling for binary outcome variables here. That means the outcome variable can have…
Linear regression is the most commonly used regression model. The reason is it is simple to use, it can infer good information and it is easy to understand. In this…
A p-test is a statistical method to test the validity of a commonly accepted claim about a population. That commonly accepted claim is called a null hypothesis. Based on the…
The Confidence Interval (CI) is very important in statistics and data science. In this article, I am going to explain the confidence interval, how to calculate it, and the important…