Timeline for Do you use a chi-squared test or a t-test for equality of variances?
Current License: CC BY-SA 3.0
19 events
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| Feb 14, 2014 at 6:35 | comment | added | Glen_b | You're asking about two unrelated things, in such a way that it's difficult to understand what you want. You're required to ask questions that are clear enough to be answered, or they will likely be closed. | |
| Feb 14, 2014 at 4:25 | answer | added | NG_21 | timeline score: 3 | |
| Feb 14, 2014 at 3:58 | history | tweeted | twitter.com/#!/StackStats/status/434174719487930368 | ||
| Feb 14, 2014 at 3:52 | comment | added | Mona Jalal | I am not a stat person and if I knew I wouldn't have asked it! | |
| Feb 14, 2014 at 3:47 | comment | added | gung - Reinstate Monica | What does this have to do with testing equality of variances b/t groups? | |
| Feb 14, 2014 at 3:45 | comment | added | Mona Jalal | suppose that we want to test H_0: p = 0.1 against H_1: p ≠ 0.1, given that there were 10 successes in a sample of size 32. How can we find the p-value? ....should I use success=dbinom(10,32,0.1) at all? how to start thinking about this problem? | |
| Feb 14, 2014 at 3:43 | comment | added | gung - Reinstate Monica | I still have no idea what you are asking, @Mona. | |
| Feb 14, 2014 at 3:43 | comment | added | Mona Jalal |
@gung I could find this but am not sure if can be of use at all success=dbinom(38,56,0.5)
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| Feb 14, 2014 at 3:39 | comment | added | Mona Jalal |
@gung my bad! I was talking about finding the p-value when the two different hypothesis have two different p one equal to alpha and one not equal to alpha! H_0:: p=alpha and H1:: P >< alpha. I know we should use chisq.test for this case but don't know how to consider number of successes in the formula!
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| Feb 14, 2014 at 3:36 | comment | added | gung - Reinstate Monica | I can't follow your question. What "number of successes" are you referring to? Are you still talking about how to test for equality of variances? Do you want to know if to proportions have the same variances? Something else? | |
| Feb 14, 2014 at 3:33 | comment | added | Mona Jalal | @gung How can I consider number of successes in the chi-test? (or any other test) when I have to deal with two hypothesis? the manual is not speaking of number of successes! | |
| Feb 14, 2014 at 3:25 | comment | added | gung - Reinstate Monica |
This appears to be a homework question, @MonaJalal. We welcome questions like this, but we treat them differently. Please tell us what you understand thus far, what you've tried & where you are stuck, & we'll try to provide hints to get you unstuck. To better understand the process, you should read the wiki for the [self-study] tag.
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| Feb 14, 2014 at 3:23 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
clarified question in title; changed tags; formatted
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| Feb 14, 2014 at 3:14 | answer | added | Glen_b | timeline score: 10 | |
| Feb 14, 2014 at 2:59 | vote | accept | Mona Jalal | ||
| Feb 14, 2014 at 2:56 | answer | added | 123456 | timeline score: 6 | |
| Feb 14, 2014 at 2:53 | vote | accept | Mona Jalal | ||
| Feb 14, 2014 at 2:53 | |||||
| Feb 14, 2014 at 2:50 | answer | added | dmartin | timeline score: 1 | |
| Feb 14, 2014 at 2:26 | history | asked | Mona Jalal | CC BY-SA 3.0 |