% Rapport package team % Homogeneity test of factor variables % 2011-04-26 20:25 CET ## Description Test of homogeneity of a given factor variable split by another factor. ### Variable description Analysing "gender" ("Gender") with _673_ valid values whether frequency counts are distributed equally across different categories of "dwell" ("Dwelling"). "dwell" has _3_ categories: * city * small town * village ### Counts ------------------------------------------------   male female Missing Sum ---------------- ------ -------- --------- ----- **city** 338 234 27 599 **small town** 28 3 2 33 **village** 19 9 2 30 **Missing** 25 17 5 47 **Sum** 410 263 36 709 ------------------------------------------------ Table: Counted values: "dwell" and "gender" ### Chi-squared test Our [null hypothetis](http://en.wikipedia.org/wiki/Null_hypothesis) says that the proportion of *gender* is indentical in each categories of *dwell*. --------------------------------- Test statistic df P value ---------------- ---- ----------- 16.18 6 _0.01282_ * --------------------------------- Table: Pearson's Chi-squared test: `table` The chi-squared test returned the value of _16.18_ with a degree of freedom being _6_. Based on the returned [p value](http://en.wikipedia.org/wiki/P-value) (_0.01282_) we could state that the null hypothesis is rejected. ------- This report was generated with [R](http://www.r-project.org/) (3.0.1) and [rapport](https://rapporter.github.io/rapport/) (0.51) in _0.298_ sec on x86_64-unknown-linux-gnu platform. ![](images/logo.png)