Timeline for How to deal with non random samples?
Current License: CC BY-SA 3.0
3 events
| when toggle format | what | by | license | comment | |
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| Oct 6, 2013 at 22:17 | comment | added | Peter Flom | With b) you are being more explicit about what is wrong with your sample | |
| Oct 6, 2013 at 14:49 | comment | added | Jos | Ok, I have sample error. But, as I got a non-random sample, I supose that I can't control this error, since no all individuals of the population have had the same probability to be included in the sample. Therefore, I can't compute the margin of error... Then, I can't understand how to make inference form non-random samples. Could you explain your options in more details? I see the same problem if I choose either a) or b) option. Thank you for the help. | |
| Oct 6, 2013 at 10:14 | history | answered | Peter Flom | CC BY-SA 3.0 |