Timeline for How to Determine if Group A is Significantly Better than Group B
Current License: CC BY-SA 4.0
11 events
| when toggle format | what | by | license | comment | |
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| Apr 14, 2020 at 12:41 | comment | added | Dave | That sounds like a fine approach. | |
| Apr 14, 2020 at 5:24 | comment | added | chaitanya | @Dave I am proposing the same methodolgy as well.. But I am wondering If I can use 2 sample proportion z test with H0: proportion of A = proportion of B and HA: proportion of A > proportion of B | |
| Apr 14, 2020 at 4:48 | comment | added | Dave | Group A has the higher observed survival rate. Your significant $\chi^2$ test says that the observed difference in survival rates groups A and B is unlikely if the survival rates are the same. In that case, the observed difference is exceptionally unlikely if B in fact has the higher survival rate. With the usual caveats about p-values, you would doubt that B has even as high of a survival rate, let alone an even higher survival rate. | |
| Apr 14, 2020 at 4:45 | comment | added | chaitanya | @ajax2112 Hi, The data is of the deaths and survived counts of two Groups A and B subjected to certain expirements A and B respectively. I want to know based on this data, which Group is significantly better in terms of Survivals? | |
| Apr 14, 2020 at 4:39 | comment | added | chaitanya | @DemetriPananos Hi, I have edited my post with picture of table.. | |
| Apr 14, 2020 at 4:39 | history | edited | chaitanya | CC BY-SA 4.0 |
added 71 characters in body
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| Apr 14, 2020 at 4:31 | history | edited | chaitanya | CC BY-SA 4.0 |
added 71 characters in body
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| Apr 14, 2020 at 3:30 | comment | added | ajax2112 | It depends what you mean by better. And given that it would be important to know what the data means. Do you want a higher average? Do you want one to be more consistent than the other? | |
| Apr 14, 2020 at 3:18 | comment | added | Demetri Pananos | What do these counts represent? | |
| Apr 14, 2020 at 3:15 | review | First posts | |||
| Apr 14, 2020 at 7:44 | |||||
| Apr 14, 2020 at 3:14 | history | asked | chaitanya | CC BY-SA 4.0 |