Archives for hypothesis testing

17 May

How to use the Chi-Square Test for two categorical variables?

Sourabh Mehta categorical labels

Chi-Square test is used to know dependency and to examine fitness of categorical variables.

The post How to use the Chi-Square Test for two categorical variables? appeared first on Analytics India Magazine.

13 Apr

A hands-on guide to Frequentist Vs Bayesian approaches in statistics

Sourabh Mehta A/B testing

According to Frequentists, probability is related to the frequency of repeated events, whereas Bayesian thinks of probability as a measure of uncertainty.

14 Sep

Guide to Advanced Concepts in Statistics for Data Science

Vijaysinh Lendave data analytics

Statistics is a branch of mathematics that deals with quantified models and representations to analyze and perform experiments on real-world data.

26 Oct

Z-Tests vs T-Tests: How To Choose Among Two Important Hypothesis Tests

Ankit Das data science basics

This article is an attempt to check under what condition we can go for a Z -Test or a T-Test. We will further implement these tests in python.

The post Z-Tests vs T-Tests: How To Choose Among Two Important Hypothesis Tests appeared first on Analytics India Magazine.

10 Jan

What Is Dempster-Shafer Theory And Can It Fill The Void Left By Bayesian Models?

Ram Sagar dempster-shafer theory

Introduced by Arthur P Dempster and developed by Glenn Shafer, the Dempster-Shafer theory was designed to mathematically model and validate the uncertainty involved in statistical inferences. This theory allows one to combine evidence from different sources and arrive at a degree of belief, which is mathematically defined by belief functions (Bel). Also known as the…

The post What Is Dempster-Shafer Theory And Can It Fill The Void Left By Bayesian Models? appeared first on Analytics India Magazine.