In statistics, a two-sample z-test for proportions is a method used to determine whether two samples are drawn from the…
In relation to machine learning, linear regression is defined as a predictive modeling technique that allows us to build a…
One sample Z-test for means is one of the statistical techniques used for testing hypothesis related to whether the sample…
Z-tests are statistical hypothesis testing techniques that are used to determine whether the null hypothesis relating to comparing sample means…
One proportion z-test or one-sample Z-test for proportion is one of the most popular statistical hypothesis tests dealing with one…
In this blog post, you can test your knowledge about Z-test, Z-statistics and related concepts through multiple choice questions (MCQs)…
In this post, you will learn the concepts of Z-Score with the help from examples including Christiano Ronaldo and Robert…
In hypothesis testing, the level of significance is a measure of how confident you can be about rejecting the null…
Many describe p-value as the probability that the null hypothesis holds good. That is an incorrect definition. The concept of…
This article describes Type I and Type II errors made due to incorrect evaluation of the outcome of hypothesis testing,…
Customer churn is a prevalent problem for many businesses. It can happen in several different ways, such as when customers…
Poisson distribution is a probability distribution that can be used to model the number of events in a fixed interval.…
In this post, you will learn about the concepts of negative binomial distribution explained using real-world examples and Python code. We will go over some of…
In this post, you will learn about the concepts of Geometric probability distribution with the help of real-world examples and…
In this plot, you will learn about how to add trend line to the line chart / line graph using…
In this post, you will learn about Beta probability distribution with the help of Python examples. As a data scientist, it…