Timeline for Implementing chi-square in python and testing on scipy's poisson and norm variates
Current License: CC BY-SA 3.0
5 events
when toggle format | what | by | license | comment | |
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Jul 5, 2022 at 11:22 | comment | added | user69189 | @Josef stats.meta.stackexchange.com/questions/6345/… | |
Jul 5, 2022 at 11:05 | comment | added | user69189 | @Josef Thanks for this very useful comment. It helped me in my now deleted question ! | |
Mar 20, 2016 at 22:22 | comment | added | Josef |
ppf is the inverse cdf, so it should be 1-alpha for the upper tail of the chisquare distribution. However, you can also use the corresponding survival function, isf for the critical value and sf for the pvalue, for those it should be alpha (0.05) directly.
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Mar 20, 2016 at 19:16 | comment | added | Pavel Akapian | Could you tell me, please, should I call chi2.ppf with alpha (= 0.05) or 1-alpha (=0.095) ? I think it's my fault. | |
Mar 20, 2016 at 18:09 | history | answered | Josef | CC BY-SA 3.0 |