Cross tabulation
From Wikipedia, the free encyclopedia
Cross tabulation (or crosstabs for short) is a statistical process that summarizes categorical data to create a contingency table.[1][2] 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.
Some entries may be weighted, unweighted tables are commonly known as pivot tables.
Example
| Sample # | Gender | Handedness |
|---|---|---|
| 1 | Female | Right-handed |
| 2 | Male | Left-handed |
| 3 | Female | Right-handed |
| 4 | Male | Right-handed |
| 5 | Male | Left-handed |
| 6 | Male | Right-handed |
| 7 | Female | Right-handed |
| 8 | Female | Left-handed |
| 9 | Male | Right-handed |
| 10 | Female | Right-handed |
Cross-tabulation leads to the following contingency table:
| Left- handed | Right- handed | Total | |
|---|---|---|---|
| Males | 2 | 3 | 5 |
| Females | 1 | 4 | 5 |
| Total | 3 | 7 | 10 |
See also
- Contingency table
- Crosstab
- Chi-square statistic
References
- ↑ "What is crosstabulation?". CreateSurvey. 2012. Retrieved 2012-08-16.
- ↑ "What is Crosstab". GeekInterview. 2012. Retrieved 2012-08-16.
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