article thumbnail

5 Statistical Tests Every Data Scientist Should Know

Analytics Vidhya

A fundamental understanding of statistical tests is necessary to derive insights from any data. These tests allow data scientists to validate hypotheses, compare groups, identify relationships, and make predictions with confidence.

article thumbnail

Hypothesis Testing in Inferential Statistics

Analytics Vidhya

Introduction Hypothesis testing is one of the most important techniques applied in various fields such as statistics, economics, pharmaceutical, mining and manufacturing industries. The post Hypothesis Testing in Inferential Statistics appeared first on Analytics Vidhya.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Hypothesis Testing- Parametric and Non-Parametric Tests in Statistics

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Hypothesis testing is one of the most important concepts in. The post Hypothesis Testing- Parametric and Non-Parametric Tests in Statistics appeared first on Analytics Vidhya.

Testing 306
article thumbnail

Statistics for Analytics and Data Science: Hypothesis Testing and Z-Test vs. T-Test

Analytics Vidhya

Overview Hypothesis testing is a key concept in statistics, analytics, and data science Learn how hypothesis testing works, the difference between Z-test and t-test, The post Statistics for Analytics and Data Science: Hypothesis Testing and Z-Test vs. T-Test appeared first on Analytics Vidhya.

Testing 306
article thumbnail

Put Your Data to Work: The Complete Playbook

This playbook contains: Exclusive statistics, research, and insights into how the pandemic has affected businesses over the last 18 months. An interactive quiz to test (and refresh) your knowledge of different data types and how they help your organization.

article thumbnail

The Concept Of Hypothesis Testing in Probability and Statistics!

Analytics Vidhya

The post The Concept Of Hypothesis Testing in Probability and Statistics! ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Hello Learners, Welcome! In this article, we are going to. appeared first on Analytics Vidhya.

article thumbnail

Statistical Effect Size and Python Implementation

Analytics Vidhya

Introduction One of the most important applications of Statistics is looking into how two or more variables relate. Hypothesis testing is used to look if there is any significant relationship, and we report it using a p-value. The post Statistical Effect Size and Python Implementation appeared first on Analytics Vidhya.