Summary statistics for contingency tables | Nonparametric statistics | Statistical tests

McNemar's test

In statistics, McNemar's test is a statistical test used on paired nominal data. It is applied to 2 × 2 contingency tables with a dichotomous trait, with matched pairs of subjects, to determine whether the row and column marginal frequencies are equal (that is, whether there is "marginal homogeneity"). It is named after Quinn McNemar, who introduced it in 1947. An application of the test in genetics is the transmission disequilibrium test for detecting linkage disequilibrium. The commonly used parameters to assess a diagnostic test in medical sciences are sensitivity and specificity. Sensitivity (or recall) is the ability of a test to correctly identify the people with disease. Specificity is the ability of the test to correctly identify those without the disease. Now presume two tests are performed on the same group of patients. And also presume that these tests have identical sensitivity and specificity. In this situation one is carried away by these findings and presume that both the tests are equivalent. However this may not be the case. For this we have to study the patients with disease and patients without disease (by a reference test). We also have to find out where these two tests disagree with each other. This is precisely the basis of McNemar's test. This test compares the sensitivity and specificity of two diagnostic tests on the same group of patients. (Wikipedia).

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Inter-rater reliability analysis using McNemar test and Cohen's Kappa in SPSS

McNemar test and Cohen's Kappa test are used to measure the disagreement and agreement between raters. In this video, I demonstrate how to run each of them in SPSS and how their results compare. I also discuss the limitation of McNemar test.

From playlist Cohen's Kappa

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Blender test: Flame

Test done with Blender 2.5. http://www.kostackstudio.de

From playlist Random Blender Tests

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Lecture 6 – Sentiment Analysis 2 | Stanford CS224U: Natural Language Understanding | Spring 2019

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Professor Christopher Potts & Consulting Assistant Professor Bill MacCartney, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Potts Pr

From playlist Stanford CS224U: Natural Language Understanding | Spring 2019

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Reliability 4: Cohen's Kappa and inter-rater agreement

In this video, I discuss Cohen's Kappa and inter-rater agreement. I will demonstrate how to compute these in SPSS and excel and make sense of the output. If you are interested to see how Cohen's Kappa compares with McNemar's tests, please watch the following video: https://youtu.be/va-Tjv

From playlist Cohen's Kappa

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Lecture 13 – Evaluation Metrics | Stanford CS224U: Natural Language Understanding | Spring 2019

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Professor Christopher Potts & Consulting Assistant Professor Bill MacCartney, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Potts Pr

From playlist Stanford CS224U: Natural Language Understanding | Spring 2019

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Lecture 12 – Evaluation Methods | Stanford CS224U: Natural Language Understanding | Spring 2019

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Professor Christopher Potts & Consulting Assistant Professor Bill MacCartney, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Potts Pr

From playlist Stanford CS224U: Natural Language Understanding | Spring 2019

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Data types

Data that are collected for statistical analysis can be classified according to their type. It is important to know what data type we are dealing with as this determines the type of statistical test to use.

From playlist Learning medical statistics with python and Jupyter notebooks

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jamovi for Data Analysis - Full Tutorial

Learn jamovi in this full tutorial course. jamovi is a free, open-source application that makes data analysis easy and intuitive. jamovi menus and commands are designed to simplify the transition from programs like SPSS but, under the hood, jamovi is based on the powerful statistical progr

From playlist Data Science

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Calculus of Several Variables by McLachlan

In this video I will show you an older calculus book on multivariable calculus. This one is called Calculus of Several Variables and it was written by McLachlan. Here it is https://amzn.to/3FP0Mtz Great Calculus Book: https://amzn.to/3VfotAU This is my affiliate link. As an Amazon Associa

From playlist Books

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Blender - New feature test: Smoke

For more information about the 3d software Blender please visit www.blender.org. www.kaikostack.com

From playlist Random Blender Tests

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Intro to The F Test

Overview of the F-Test. What it is and how it works with general steps and assumptions.

From playlist F Test

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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

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What is a Z-Score?

Confused about what a z-score is and how it relates to a bell curve? This short video explains in plain English what a z score is and what it's used for. Check out my Statistics Handbook: https://www.statisticshowto.com/the-practically-cheating-statistics-handbook/ Thanks for your support!

From playlist z-test

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Linear regression

Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.

From playlist Learning medical statistics with python and Jupyter notebooks

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Top 50 Manual Testing Interview Questions | Software Testing Interview Preparation | Edureka

** Test Automation Masters Program: https://www.edureka.co/masters-program/automation-testing-engineer-training ** This Edureka video on "Manual Testing Interview Questions and Answers" will help you to prepare yourself for Software Testing Interviews based on manual testing. It covers

From playlist Software Testing Training Videos | Edureka

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Smoke Testing vs Sanity Testing | Smoke and Sanity Testing | Software Testing Tutorial | Edureka

** Test Automation Masters Program: https://www.edureka.co/masters-program/automation-testing-engineer-training ** This Edureka video on "Smoke Testing and Sanity Testing" will help you understand about two most misinterpreted topics in software testing and help you differentiate them fro

From playlist Software Testing Training Videos | Edureka

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What is Regression Testing? | Regression Testing in Software Testing | Edureka

** Test Automation Masters Program: https://www.edureka.co/masters-program/automation-testing-engineer-training ** This Edureka video on "What is Regression Testing?" will help you get in-depth knowledge on regression testing in software Testing and why it is important to incorporate re

From playlist Software Testing Training Videos | Edureka

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#26. What type of tailed test should be performed?

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys #26. What type of tailed test should be performed?

From playlist Statistics Final Exam

Related pages

Blocking (statistics) | Cochran's Q test | Degrees of freedom (statistics) | Probability mass function | Binomial distribution | Sign test | Contingency table | Sensitivity and specificity | Statistics | Pearson's chi-squared test | Chi-squared distribution | Cumulative distribution function | Test statistic | Chi-squared test | Statistical significance | Null hypothesis