Statistical tests for contingency tables
In statistics, G-tests are likelihood-ratio or maximum likelihood statistical significance tests that are increasingly being used in situations where chi-squared tests were previously recommended. The general formula for G is where is the observed count in a cell, is the expected count under the null hypothesis, denotes the natural logarithm, and the sum is taken over all non-empty cells. Furthermore, the total observed count should be equal to the total expected count: where is the total number of observations. G-tests have been recommended at least since the 1981 edition of Biometry, a statistics textbook by Robert R. Sokal and F. James Rohlf. (Wikipedia).
Overview of the F-Test. What it is and how it works with general steps and assumptions.
From playlist F Test
Computing z-scores(standard scores) and comparing them
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Computing z-scores(standard scores) and comparing them
From playlist Statistics
What is Multivariate Testing? | Data Science in Minutes
In this tutorial, we will explain: how a multivariate test differs from an A/B Test, how to create and conduct a multivariate test, and what questions you should be asking of your test. Multivariate testing is a technique for testing a hypothesis in which multiple variables are modified.
From playlist Data Science in Minutes
A silent video testing series for convergence or divergence using the comparison test
From playlist 242 spring 2012 exam 3
Let Your Users Decide What They Want (Power of A/B Tests)
My talk is about letting the users help you understand what they need and if a particular feature is really useful for the users by using the technique of A/B testing. We are constantly running A/B tests to improve the customer experience by measuring the business metrics. Attend my talk t
From playlist Performance and Testing
G tests for categorical variables using R
In this video I take a look at two alternative tests for the chi-squared goodness of fit test and the chi-squared test of independence. These as the G tests for goodness of fit and independence. They are log-likelihood tests. The rendered HTML file is on RPubs at http://rpubs.com/juanhk
From playlist Statistics
What is a hypothesis test? The meaning of the null and alternate hypothesis, with examples. Overview of test statistics and confidence levels.
From playlist Hypothesis Tests and Critical Values
What is A/B Testing? | Data Science in Minutes
What is A/B testing? In this quick tutorial, we go over the basics of A/B testing, as well as answer some in-depth questions such as: why should businesses conduct A/B testing? Or how do you perform an A/B test? A/B testing aims to determine not only which technique performs better but al
From playlist Data Science in Minutes
Selenium Live - 5 | Drag and Drop using R Selenium | Selenium Tutorial | Selenium Training | Edureka
🔥Selenium Training: https://www.edureka.co/selenium-certification-training ** This Edureka video will help you understand how to Drag and Drop using R Selenium. 🔹Selenium playlist: https://goo.gl/NmuzXE 🔹Selenium Blog List: https://bit.ly/39ZUAwR -----------------------------------------
From playlist Edureka Live Classes 2020
Abstract Algebra - 3.2 Subgroup Tests
In this video we examine the One-Step Subgroup Test, Two-Step Subgroup Test and Finite Subgroup Test. For the One- and Two-Step tests, we examine proving the same statement using each proof method. Video Chapters: Intro 0:00 One-Step Subgroup Test 0:06 Proof Using the One-Step Subgroup Te
From playlist Abstract Algebra - Entire Course
TestNG Annotations in Selenium | Selenium Tutorial For Beginners | Selenium Training | Edureka
**Selenium Training: https://www.edureka.co/selenium-certification-training ** This Edureka video on 'TestNG Annotations in Selenium' will help you understand various annotations that TestNG supports along with examples. Below topics are covered in this video: 0:57 Introduction to TestNG
From playlist Selenium Tutorial Videos - Automation Testing Tool
Locally testable codes with constant rate, distance, and locality, Part I - Irit Dinur
Computer Science/Discrete Mathematics Seminar I Topic: Locally testable codes with constant rate, distance, and locality, Part I Speaker: Irit Dinur Affiliation: Weizmann Institute Date: October 25, 2021 A locally testable code (LTC) is an error correcting code that admits a very efficie
From playlist Mathematics
C70 The ratio test for power series
A quick reminder of the ratio test for power series convergence.
From playlist Differential Equations
Noah Zaitlen: "A Short Tutorial on Linear Mixed Model Association Testing in Genetics"
Computational Genomics Winter Institute 2018 "A Short Tutorial on Linear Mixed Model Association Testing in Genetics" Noah Zaitlen, University of California, San Francisco Institute for Pure and Applied Mathematics, UCLA March 1, 2018 For more information: http://computationalgenomics.b
From playlist Computational Genomics Winter Institute 2018
G*Power 3.1 Tutorial: Overview (Episode 1)
I this new tutorial series, I discuss how to use G*Power 3.1 to perform power analyses for a range of tests. In this episode, I go through the panel, screens, and options as a general overview. I do discuss a little bit of how to do a point-biserial correlation a priori power analysis as a
From playlist G*Power 3.1 Tutorials
7. Stability via Frequency Response
MIT Electronic Feedback Systems (1985) View the complete course: http://ocw.mit.edu/RES6-010S13 Instructor: James K. Roberge License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT Electronic Feedback Systems (1985)
JMeter API Testing | Rest API Testing using JMeter | API Testing Tutorial | Edureka
** Performance Testing Using JMeter: https://www.edureka.co/jmeter-training-performance-testing ** This edureka video on "JMeter API Testing" will provide you in-depth knowledge about client and server communication with an API. It will provide a step by step guide on how to test API for w
From playlist Software Testing Training Videos | Edureka
Hypothesis Test: Two Population Means with Unknown Standard Deviations (2 Tailed)
This video explains how to conduct a hypothesis test with two population means with unknown standard deviations. http://mathispower4u.com
From playlist Hypothesis Test with Two Samples
JMeter Script Recording Tutorial | How to Record Scripts in JMeter | JMeter Training | Edureka
** Performance Testing Using JMeter: https://www.edureka.co/jmeter-training-performance-testing ** This edureka video on "JMeter Script Recording" will provide you in-depth knowledge about script recording in JMeter. It will also provide a step by step guide to using JMeter as Proxy and r
From playlist Software Testing Training Videos | Edureka
What is A/A Testing? | A/B Testing Fundamentals
A/A testing is the tactic of using A/B testing to test two identical versions of a page against each other. In this quick tutorial we go over A/A testing, what it is and how to use it to help you properly conduct A/B or multivariate tests. -- Learn more about Data Science Dojo here: http
From playlist Data Science in Minutes