Frequency distribution | Contingency table

Contingency table

In statistics, a contingency table (also known as a cross tabulation or crosstab) is a type of table in a matrix format that displays the (multivariate) frequency distribution of the variables. They are heavily used in survey research, business intelligence, engineering, and scientific research. They provide a basic picture of the interrelation between two variables and can help find interactions between them. The term contingency table was first used by Karl Pearson in "On the Theory of Contingency and Its Relation to Association and Normal Correlation", part of the Drapers' Company Research Memoirs Biometric Series I published in 1904. A crucial problem of multivariate statistics is finding the (direct-)dependence structure underlying the variables contained in high-dimensional contingency tables. If some of the conditional independences are revealed, then even the storage of the data can be done in a smarter way (see Lauritzen (2002)). In order to do this one can use information theory concepts, which gain the information only from the distribution of probability, which can be expressed easily from the contingency table by the relative frequencies. A pivot table is a way to create contingency tables using spreadsheet software. (Wikipedia).

Video thumbnail

Lect.9G: Analysis Of Contingency Tables Lecture 9

Lecture with Per B. Brockhoff. Lecture 9. Chapters: 00:00 - Analysis Of Contingency Tables; 06:45 - Calculating The Test Statistic;

From playlist DTU: Introduction to Statistics | CosmoLearning.org

Video thumbnail

OCR MEI Statistics 2 4.01 Introducing the Chi-Squared Contingency Table Test

Thanks for watching! Please like my new Facebook page https://www.facebook.com/TLMaths-1943955188961592/ to keep you updated with future videos :-)

From playlist [OLD SPEC] TEACHING OCR MEI STATISTICS 2 (S2)

Video thumbnail

Google Docs: Table of Contents

When you a have long Google Doc, you want to make sure your readers can navigate it. A Table of contents can add structure to your document and help readers find what they’re looking for. While it's similar to the Document Outline feature, a Table of contents provides structure and easy n

From playlist Google Docs

Video thumbnail

Excel: Tables

In this video, you’ll learn the basics of formatting and modifying tables in Excel 2019, Excel 2016, and Office 365. Visit https://edu.gcfglobal.org/en/excel/tables/1/ for our text-based lesson. This video includes information on: • Formatting data as a table • Adding rows or columns to a

From playlist Microsoft Excel 2016

Video thumbnail

Access 2007: Building Table Relationships

In this video, you’ll learn more about building table relationships in Access 2007. Visit https://www.gcflearnfree.org/access2007/building-table-relationships/1/ for our text-based lesson. This video includes information on: • Establishing a relationship between tables • Understanding the

From playlist Microsoft Access 2007

Video thumbnail

Convolution

Convolution In this video, I introduce the notion of convolution and give an example and some applications. It is a very way of multiplying two functions that is useful analysis and PDEs. Here is the demo I showed: https://phiresky.github.io/convolution-demo/ Convolution Intuition: http

From playlist Partial Differential Equations

Video thumbnail

Excel 2010: Formatting Tables

In this video, you’ll learn more about formatting tables in Excel 2010. Visit https://www.gcflearnfree.org/excel2010/formatting-tables/1/ for our text-based lesson. This video includes information on: • Adding rows and columns • Changing table styles • Changing table style options • Forma

From playlist Microsoft Excel 2010

Video thumbnail

How do I... CROSSTABS & CONTINGENCY TABLES in Jamovi? (2022)

Do you have two categorical variables and want to know how they overlap? Or you need to get observed counts from those categorical variables but have a huge amount of data points? Crosstabs (SPSS)/Contingency tables allow you to get counts and percentages for these purposes. It'll also giv

From playlist Jamovi 2022 Tutorials

Video thumbnail

Arguing God from First Cause | Episode 112 | Closer To Truth

Does everything need a cause? Everything in the universe surely does. But what about the universe as a whole? And what about God - assuming God exists - does God need a cause? Featuring interviews with William Craig, Quentin Smith, Alister McGrath, David Shatz, Charles Harper, and Peter va

From playlist Closer To Truth | Season 1

Video thumbnail

Contingency Tables & Conditional Proportions

This video shows how to use the Explore Categorical Data app from ArtofStat to construct and interpret a contingency table. The video explains how to obtain the conditional distribution (the conditional proportions) and how to interpret them, using data on happiness of 18-25 year olds from

From playlist Chapter 3: Relationships between two variables

Video thumbnail

But what is a convolution?

Discrete convolutions, from probability, to image processing and FFTs. Help fund future projects: https://www.patreon.com/3blue1brown Special thanks to these supporters: https://3b1b.co/lessons/convolutions#thanks An equally valuable form of support is to simply share the videos. --------

From playlist Prob and Stats

Video thumbnail

TAUTOLOGIES, CONTRADICTIONS, and CONTINGENT WFFS - Logic

In this video on #Logic / #PhilosophicalLogic, we learn about tautologies (wffs which are always true), contradictions (wffs which are always false), and contingent wffs (wffs which are both true and false depending on the situation). Then we do some practice exercises. 0:00 [Intro] 0:16

From playlist Logic in Philosophy and Mathematics

Video thumbnail

Chi-Squared Test of Independence with SPSS

This demonstration shows you how to conduct a Chi-Squared Test of Independence (Test of Association) with SPSS. This demonstration corresponds to Introduction to Statistics, Think & Do, by Scott Stevens (www.StevensStats.com).

From playlist SPSS Demonstrations

Video thumbnail

Martin Hazelton - Dynamic fibre samplers for linear inverse problems

Professor Martin Hazelton (University of Otago) presents “Dynamic fibre samplers for linear inverse problems”, 23 October 2020 (seminar organised by UNSW).

From playlist Statistics Across Campuses

Video thumbnail

Jamovi 1.2/1.6 Tutorial: Chi-Squared Test of Independence (Episode 16)

In this Jamovi tutorial, I go through an example for how to do chi-squared test of independence tests with data from the Learning with Jamovi text. Features include a simple module for showing observed and expected counts, and additional statistics for the chi-squared test. Jamovi stats:

From playlist Jamovi Tutorials

Video thumbnail

Math for Liberal Studies - Lecture 2.5.2 Runoff Voting

This is the second video lecture for Math for Liberal Studies Section 2.5: Miscellaneous Voting Methods. In this lecture, I discuss various kinds of runoff elections. Specifically, we discuss methods for eliminating candidates and recalculating the results to avoid having to hold a new spe

From playlist Math for Liberal Studies Lectures

Video thumbnail

Google Docs: Inserting Tables

In this video, you’ll learn more about working with tables in Google Docs. Visit https://www.gcflearnfree.org/googledocuments/working-with-tables/1/ for our text-based lesson. This video includes information on: • Inserting and modifying tables • Editing table properties We hope you enjo

From playlist Google Drive and Docs

Video thumbnail

5. Ch. 2, Sections 2.2 & 2.3. Introduction to Logic, Philosophy 10, UC San Diego - BSLIF

Video lecture corresponding to _Basic Sentential Logic and Informal Fallacies_, Chapter 2, Sections 2.2 & 2.3. This is for the class Introduction to Logic, Philosophy 10, UC San Diego.

From playlist UC San Diego: PHIL 10 - Introduction to Logic | CosmoLearning.org Philosophy

Related pages

If and only if | Panel data | Cramér's V | Level of measurement | Goodman and Kruskal's gamma | Sample odds ratio | Statistics | Main diagonal | Pearson's chi-squared test | Information theory | Fisher's exact test | Goodman and Kruskal's lambda | Multivariate statistics | Pearson correlation coefficient | Iterative proportional fitting | G-test | Confusion matrix | Kendall rank correlation coefficient | Conditional independence | Polychoric correlation | Barnard's test | Phi coefficient | Odds ratio | Boschloo's test | Matrix (mathematics) | Uncertainty coefficient | Handedness | Statistical significance