Contingency table: Difference between revisions
CSV import |
CSV import |
||
| Line 40: | Line 40: | ||
[[Category:Machine learning]] | [[Category:Machine learning]] | ||
{{No image}} | {{No image}} | ||
__NOINDEX__ | |||
Revision as of 08:07, 17 March 2025
Contingency table
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.
Overview
The term Contingency table was first used by Karl Pearson. It is a way of representing and analyzing two and more variables simultaneously. The results are represented in a matrix format, making it easy to visualize the data.
Usage
Contingency tables are used in statistics to summarize data between two variables in a format that can be easily understood. They are used in a variety of fields, including machine learning, business analytics, and social sciences.
Construction
A Contingency table is constructed by listing the categories of one variable down the page, and the categories of the other variable across the page. The cell at the intersection of a row and column shows the count of the number of times a particular combination of variable outcomes occurred.
Interpretation
The interpretation of a Contingency table depends on the study and the data. However, in general, the larger the number in a cell of a contingency table, the more the variables are likely to be related.
See also
- Chi-squared test
- Pearson's chi-squared test
- Fisher's exact test
- Log-linear analysis
- Odds ratio
- Relative risk
References
<references />


