A Tale of Two TESTS
In this article we demonstrate that the "the t-test for two independent proportions" is not only a remarkably accurate and easier to use substitute for the Chi-square test, but also that the multi-sample F-test, the one-way ANOVA (analysis of variance), serves well for the Chi-square test....
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| Veröffentlicht in: | Marketing research (Chicago, Ill.) Ill.), 2008-07, Vol.20 (2), p.20 |
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| creator | Hellebusch, Stephen J Mullet, Gary M |
| description | In this article we demonstrate that the "the t-test for two independent proportions" is not only a remarkably accurate and easier to use substitute for the Chi-square test, but also that the multi-sample F-test, the one-way ANOVA (analysis of variance), serves well for the Chi-square test. Note especially that we are talking about proportions that result from dichotomous data. More than two classifications (multichotomies) are not addressed here. [PUBLICATION ABSTRACT] |
| format | Article |
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Note especially that we are talking about proportions that result from dichotomous data. More than two classifications (multichotomies) are not addressed here. 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Note especially that we are talking about proportions that result from dichotomous data. More than two classifications (multichotomies) are not addressed here. 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| fulltext | fulltext |
| identifier | ISSN: 1040-8460 |
| ispartof | Marketing research (Chicago, Ill.), 2008-07, Vol.20 (2), p.20 |
| issn | 1040-8460 |
| language | eng |
| recordid | cdi_proquest_journals_202681729 |
| source | Business Source Complete |
| subjects | Accuracy Comparative analysis Studies Test methods Variance analysis |
| title | A Tale of Two TESTS |
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