Hypothesis Testing

Hypothesis-Testing

Hypothesis testing is a statistical method used to evaluate assumptions or claims about a population based on sample data. It involves formulating two competing hypotheses: the null hypothesis (H₀), which posits no effect or difference, and the alternative hypothesis (H₁), which suggests a significant effect or difference exists. By analyzing sample data, hypothesis testing determines the likelihood of observing the data if the null hypothesis is true. This process helps researchers make informed decisions, assess evidence, and minimize errors in conclusions, ultimately contributing to scientific inquiry and data-driven decision-making.

Towards Data Science

A hypothesis is a claim or a premise that we want to test. Hypothesis testing is a way of backing up your conclusions with data, in a more “scientific” way. It is useful not only to scientists, but…

Hypothesis Testing Steps

Analytics Vidhya

Hypothesis testing is the process of using statistics to determine the probability that a specific hypothesis is true. It evaluates two mutually exclusive statements about a population to determine…

A Complete Guide to Hypothesis Testing

Towards Data Science

Hypothesis testing is a method of statistical inference that considers the null hypothesis H₀ vs. the alternative hypothesis Ha, where we are typically looking to assess evidence against H₀. Such a…

Hypothesis Testing: Intuition

Towards Data Science

Hypothesis testing in layman terms is a technique to statistically verify whether our assumption about the population from which the sample is drawn is true. And how do we do that? We use our…

Hypothesis Tests Explained

Towards Data Science

According to Jim Frost, Hypothesis Testing is a form of inferential statistics that allows us to draw conclusions about an entire population based on a representative sample [..] In most cases, it is…...

The Hypothesis Tester’s Guide

Towards Data Science

Hypothesis testing is the basis of classical statistical inference. It’s a framework for making decisions under uncertainty.

Hypothesis Testing- Test of Mean, Variance, Proportion

Towards AI

Hypothesis testing is used to determine whether the assumption about the value of the population parameter should be rejected or not. There are different types of hypothesis testing and different…

Hypothesis Testing | All a beginner needs to know

Analytics Vidhya

Hypothesis in terms of statistics is an assumption for an event, a proportion based on reasoning. Hypothesis testing is a statistical method used to make decisions using experimental data. Basically…

Hypothesis Testing simplified with an example

Analytics Vidhya

Hypothesis testing is one of the most powerful and elegant concepts in the field of statistics. It is widely used in the market by data scientists, statisticians, and researchers in different…

An easy guide for hypothesis testing

Analytics Vidhya

Hypothesis testing is an approach for testing our ideas or assumptions. Now you must be wondering what steps are involved in it. This article will help you familiarize yourself with its core concepts....

Hypothesis Testing, Characteristics, and Calculation

Towards Data Science

A hypothesis 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 p-value, we…

Hypothesis Testing demystified

Towards Data Science

Hypothesis testing is probably the most rewarding stage of a statistical study. It is the point where you get to the conclusions, where you (can) find answers to the questions you were searching…