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How to Use the T-Test and its Non-Parametric Counterpart

Towards Data Science

As a data scientist, you would do well to understand some statistics. After all, it is one of the building blocks of the field . This is the first article in a series which will attempt to give a conc...

Parametric Tests — the t-test

Towards Data Science

In my previous article we went through the whats, hows and whys of hypothesis testing with a brief introduction on statistical tests and the role that they play in helping us determine statistical…

t-Test : From Application to Theory

Towards Data Science

t-Test : From Application to Theory To bridge the gap between mathematical computations and programmatic implementation of a two-sample t-Test, this article provides a step-by-step guide using a prac...

Statistical T-Test Simply Explained

Towards Data Science

An introduction to the Student’s t-distribution and the Student’s t-test Continue reading on Towards Data Science

That 1 Question on t-test!

Analytics Vidhya

After going through a lot of good articles on t-test, I have prepared a summary of all the questions asked and the information you need to possess on t-test! A t-test is a statistical test that is…

A Closer Look at the Performance of the T-test

Towards Data Science

How can we assess how well a statistical test performs? The answer is Monte Carlo simulation. A simulation study is a computer experiment that involves generating data from probability distributions…

Statistical tests: T-test andANOVA

Towards Data Science

Statistics play a vital role not only in the data analysis but also in decision making. There are a bunch of tests that statisticians use to get the most accurate information from the data. Here, I…

T-test and Hypothesis Testing (Explained Simply)

Towards Data Science

Understand the concept and find how to avoid typical mistakes Photo by Andrew George on Unsplash Student’s t-tests are commonly used in inferential statistics for testing a hypothesis on the basis of...

The statistical analysis t-test explained for beginners and experts

Towards Data Science

Explanation step-by-step of the t-test so anyone can use it as a reference whenever they have to run the test or review the concepts.

All about T-tests— demystified

Analytics Vidhya

T-test is one of the most widely used test for hypothesis testing in the world of statistics. I have covered student's t test, paired t test and two sample t test

How to Code the Student’s t-Test from Scratch in Python

Machine Learning Mastery

Last Updated on August 8, 2019 Perhaps one of the most widely used statistical hypothesis tests is the Student’s t test. Because you may use this test yourself someday, it is important to have a deep ...

Don’t Use a T-Test for A/B Testing

Towards Data Science

Have you ever wanted to speed up an A/B test? Well, here’s arguably the highest ROI solution for variance reduction in an A/B testing setting. Frequentist experimentation is commonly leveraged for…

Student’s t-test in Medicine: Shedding Light on its Intuitive Concepts

Towards Data Science

Statistical jargon is plagued with technicalities and intricate mathematical notation. Throughout my experience in the biomedical field, I’ve encountered two types of people: those who feel an…

STATISTICAL TESTS

Analytics Vidhya

Overview of most common Statistical tests. “STATISTICAL TESTS” is published by Kallepalliravi in Analytics Vidhya.

Mastering One-Sample t-Test: Unveiling Insights with Python and Real-World Data

Level Up Coding

Article Outline: 1. Introduction to One-Sample Testing - Definition and overview of one-sample testing in statistics - Differentiation from other types of statistical tests - The importance and applic...

Hypothesis Testing

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…

The 3 t-tests for Data Scientists

Towards Data Science

A t-test is a statistical technique that tells one how significant a difference is between two groups is. In brief, it accomplishes this by comparing the amount of the signal (measured by the…

Hypothesis Tests Series-Post 1: T-test

Analytics Vidhya

Statistics play an important role in our lives. It eventually becomes an imperative fundamental of any data scientist. Today we are about to review some basic concepts in hypothesis tests with a…

Difference Between Z-test and T-test with Confidence Interval

The Pythoneers

Data analysis with known variance and unknown variance Continue reading on The Pythoneers

Advanced Statistics Using R — 6

Analytics Vidhya

In traditional statistics classes, the t-test — invented by William Gosset while working at the Guinness brewery — is taught for conducting tests on the mean of data or for comparing two sets of…

You need to set your NULL Hypothesis this way

Python in Plain English

Photo by Scott Graham on Unsplash Null hypothesis in Real-World Projects When we do hypothesis testing, we test for the null hypothesis because we don’t want trouble practically. Practically, Null mea...

Hypothesis testing, P-value and some statistical tests

Analytics Vidhya

We are going to understand hypothesis testing and P-value in detail and also conduct a few tests in python. If you are new to these terms, don’t worry! I got you covered. You went on a school trip…

Which hypothesis test to perform?

Towards Data Science

The objective of statistics is to make inferences about a population based on information contained in a sample. The numerical measures used to characterize populations are called parameters. The…

Hypothesis Testing & p-Value

Towards Data Science

Recently, I implemented a new methodology at my work. I did some experiments, analyzed results and with some statistical calculations I proved, the new methodology is better than the existing one……