Timeline for How do I compare means when I have a sample and the whole population?
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 4, 2018 at 3:01 | history | tweeted | twitter.com/StackStats/status/1058917143302078464 | ||
| Nov 3, 2018 at 18:17 | history | edited | tuspazio | CC BY-SA 4.0 |
added 58 characters in body
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| Nov 3, 2018 at 18:04 | answer | added | MaxW | timeline score: 1 | |
| Nov 3, 2018 at 15:49 | comment | added | user158565 | It is called The finite population correction. See eq. 3.19 on page 3-15 of ph.ucla.edu/epi/rapidsurveys/RScourse/RSbook_ch3.pdf | |
| Nov 3, 2018 at 15:45 | vote | accept | tuspazio | ||
| Nov 3, 2018 at 15:45 | comment | added | tuspazio | Thanks a lot, @a_statistician. What should I exactly pay attention to if the population is limited? How does this affect the computation of the std deviation? Thx, T. | |
| Nov 3, 2018 at 15:38 | comment | added | user158565 | The hypothesis testing for a single population mean is good. Need to pay attention to the calculation of std deviation if the total number of hotels from competitors is limited, for example less than 500. | |
| Nov 3, 2018 at 13:24 | answer | added | Peter Flom | timeline score: 4 | |
| Nov 3, 2018 at 12:25 | review | First posts | |||
| Nov 3, 2018 at 13:23 | |||||
| Nov 3, 2018 at 12:25 | history | asked | tuspazio | CC BY-SA 4.0 |