Timeline for Why "sorting" is needed for simple random sampling
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
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| Aug 10, 2020 at 22:43 | comment | added | Simon Harmel | Oh Awesome! Well, I know you're a stat. math guy! Is this something you might know about? | |
| Aug 10, 2020 at 22:38 | comment | added | Ben | Let me answer that question with a link. ; ) | |
| Aug 10, 2020 at 22:34 | comment | added | Ben | (One slight complication to this is that computer PRNGs never generate perfectly continuous random variables, since there is a limit to the number of digits for the generated number. So technically there is a possibility of ties, but this hardly ever happens.) | |
| Aug 9, 2020 at 23:06 | comment | added | Ben | You can use any continuous distribution --- the sorting properties are the same (see this related question). | |
| Aug 9, 2020 at 22:41 | comment | added | Simon Harmel |
BTW, could we instead of generating our random number from a uniform(0,1), generate our random number from uniform(3,9)?
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| Aug 9, 2020 at 22:31 | comment | added | Simon Harmel | This was what I was looking for thanks! | |
| Aug 9, 2020 at 22:29 | vote | accept | Simon Harmel | ||
| Aug 9, 2020 at 22:27 | history | answered | Ben | CC BY-SA 4.0 |