Difference between revisions of "Chi-Square test"
Tmtoulouse (talk | contribs) (New page: {{statistics}} The '''Chi-square test''' is a statistical test that relies on the Chi-square distribution. The chi-square test is non-parametric and does not make as many assumptions ...) |
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A chi-square test would be used to answer whether or not the difference between the relative proportions of support and opposition for the law compared to political affiliation was significant. | A chi-square test would be used to answer whether or not the difference between the relative proportions of support and opposition for the law compared to political affiliation was significant. | ||
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Revision as of 04:38, April 24, 2007
The Chi-square test is a statistical test that relies on the Chi-square distribution. The chi-square test is non-parametric and does not make as many assumptions about the data it is comparing. However, it has less statistical power because of this. The most common usage for the chi-square test is to compare statistical significance of the difference between proportions in data sets. This usually takes the form of a Bivariate tabular analysis, or the intersections of proportional data of an independent variable and a dependent variable.
For example, ones independent variable might be political affiliation and the dependent variable might be support for a particular law. In this hypothetical example the data looks like:
| Oppose | Support | |
| Liberal | 45 | 5 |
| Conservative | 10 | 40 |
A chi-square test would be used to answer whether or not the difference between the relative proportions of support and opposition for the law compared to political affiliation was significant.