Timeline for How do you calculate the expected value of a discrete distribution without replacement?
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
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| Apr 12, 2022 at 22:20 | history | edited | Jarle Tufto |
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| Apr 12, 2022 at 22:04 | answer | added | Jarle Tufto | timeline score: 5 | |
| Apr 12, 2022 at 12:06 | comment | added | whuber♦ | For some ideas about this question and its generalizations, see this site search for answers about sampling, replacement, expectation, and indicator functions. | |
| Apr 12, 2022 at 9:00 | history | tweeted | twitter.com/StackStats/status/1513804120876101633 | ||
| Apr 12, 2022 at 5:29 | history | became hot network question | |||
| Apr 12, 2022 at 3:28 | vote | accept | brubsby | ||
| Apr 12, 2022 at 0:01 | comment | added | knrumsey | The answer will actually be the same in either case. This is because the marginal distribution of $X_1, X_2$ and $X_3$ is the same in both cases (although the joint distributions are different). Since expectation is a linear operation, only the marginal distributions matter here. Still its good that you're thinking about this, as it's non-trivial that they are the same, and they would have different expectations for a non-linear function of $X_1, X_2, X_3$. | |
| Apr 11, 2022 at 23:53 | answer | added | knrumsey | timeline score: 12 | |
| Apr 11, 2022 at 22:45 | answer | added | BruceET | timeline score: 8 | |
| Apr 11, 2022 at 21:26 | history | asked | brubsby | CC BY-SA 4.0 |