Timeline for Choice of grouping in Chi-Squared test
Current License: CC BY-SA 3.0
12 events
| when toggle format | what | by | license | comment | |
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| S Dec 6, 2014 at 1:03 | history | bounty ended | T.J. Gaffney | ||
| S Dec 6, 2014 at 1:03 | history | notice removed | T.J. Gaffney | ||
| Dec 5, 2014 at 17:29 | vote | accept | T.J. Gaffney | ||
| Dec 5, 2014 at 7:40 | answer | added | jvbraun | timeline score: 2 | |
| Dec 5, 2014 at 0:41 | comment | added | T.J. Gaffney | @cdeterman Thanks for your response. In the group I work with we might look at something like age. (Say we're trying to predict likelihood they watch television.) If you want to make a good predictive model, you probably shouldn't consider each year or each day as its own category. But say one person in my group wants to consider 5 year bands, but another wants to consider 10 year bands, and another 15 year bands. Maybe the Chi-Squared test says that age is a predictor of television-viewing, but only with the 10 year bands, should we still use it? What if we take any n year bands? | |
| Dec 4, 2014 at 20:38 | comment | added | cdeterman | Generally the only reason to combine classes is because your expected counts are very low (>5). Do you have low data or are you just trying to 'find significance'? Why are you combining groups? | |
| Nov 29, 2014 at 4:29 | history | edited | T.J. Gaffney | CC BY-SA 3.0 |
Changed "qualitative" to "quantitative"
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| Nov 29, 2014 at 3:09 | history | tweeted | twitter.com/#!/StackStats/status/538530171159343104 | ||
| S Nov 29, 2014 at 0:28 | history | bounty started | T.J. Gaffney | ||
| S Nov 29, 2014 at 0:28 | history | notice added | T.J. Gaffney | Draw attention | |
| Nov 26, 2014 at 23:41 | review | First posts | |||
| Nov 26, 2014 at 23:48 | |||||
| Nov 26, 2014 at 23:36 | history | asked | T.J. Gaffney | CC BY-SA 3.0 |