Timeline for Do you use a chi-squared test or a t-test for equality of variances?
Current License: CC BY-SA 3.0
9 events
when toggle format | what | by | license | comment | |
---|---|---|---|---|---|
Feb 14, 2014 at 4:41 | comment | added | NG_21 | @Pseudo_Scientist, Its not necessary. While testing for equaltiy of variances we also use Bartlett's Test which is essentially a Chi-Square test. Please refer here(en.wikipedia.org/wiki/Bartlett's_test) | |
Feb 14, 2014 at 3:42 | comment | added | gung - Reinstate Monica | How do you "verify the answer"? When you run the script, you get output, but what do you verify it against, & what makes you believe that whatever that is, it is "the answer"? | |
Feb 14, 2014 at 3:36 | comment | added | Mona Jalal | We run the answer using script and we can verify the answer! | |
Feb 14, 2014 at 3:33 | comment | added | gung - Reinstate Monica | What is "the right answer" & how do you know it? | |
Feb 14, 2014 at 3:32 | comment | added | Mona Jalal | @gung but it gives the right answer. | |
Feb 14, 2014 at 3:11 | comment | added | gung - Reinstate Monica | This is a possible, but poor, strategy. It is recommended that you use Levene's test or the Brown-Forsythe test for this (see my answer here). | |
Feb 14, 2014 at 3:00 | comment | added | Mona Jalal |
What kind of test should I use if H_0: p = alpha against H_1: p ≠ alpha ? How do you contain the number of successes in the R code?
|
|
Feb 14, 2014 at 2:59 | vote | accept | Mona Jalal | ||
Feb 14, 2014 at 2:56 | history | answered | 123456 | CC BY-SA 3.0 |