Timeline for How to NOT use statistics
Current License: CC BY-SA 3.0
20 events
when toggle format | what | by | license | comment | |
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Jul 20, 2014 at 1:01 | answer | added | Aksakal | timeline score: 0 | |
Jul 20, 2014 at 0:13 | history | edited | Andre Silva |
replaced big list tag as follow up action from here: http://meta.stats.stackexchange.com/questions/1846/what-could-be-done-with-respect-to-tag-big-list/2067#2067
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May 12, 2011 at 20:17 | answer | added | b_dev | timeline score: 2 | |
May 12, 2011 at 17:13 | vote | accept | John Leidegren | ||
May 12, 2011 at 16:58 | answer | added | Greg Snow | timeline score: 2 | |
S May 12, 2011 at 1:23 | history | suggested | J. M. is not a statistician |
retagged question
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May 12, 2011 at 1:03 | answer | added | bill_080 | timeline score: 2 | |
May 12, 2011 at 0:11 | history | tweeted | twitter.com/#!/StackStats/status/68468381015224320 | ||
May 12, 2011 at 0:10 | review | Suggested edits | |||
S May 12, 2011 at 1:23 | |||||
May 11, 2011 at 22:38 | history | migrated | from math.stackexchange.com (revisions) | ||
May 11, 2011 at 21:14 | comment | added | Peter Taylor | @J.M., or Huff's How to Lie With Statistics | |
May 11, 2011 at 20:27 | answer | added | Raphael | timeline score: 0 | |
May 11, 2011 at 19:00 | comment | added | John Leidegren | I didn't even know we had a forum dedicated to statistical analysis. I'd move the question, If I knew how... | |
May 11, 2011 at 18:27 | comment | added | InterestedGuest | I think you might benefit from asking this question on stats stackexchange -- I flagged the question so maybe it will be moved over there. | |
May 11, 2011 at 18:11 | comment | added | J. M. is not a statistician | If more people read Hooke's How to Tell the Liars from the Statisticians, maybe there won't be as many "statistical suckers" as we now have in the world. | |
May 11, 2011 at 18:09 | answer | added | Gerald Edgar | timeline score: 3 | |
May 11, 2011 at 17:57 | answer | added | Phira | timeline score: 6 | |
May 11, 2011 at 17:56 | answer | added | Robert Israel | timeline score: 9 | |
May 11, 2011 at 17:55 | comment | added | El'endia Starman | This is only a very partial answer, so I won't actually post it as an answer. You ARE correct that complex statistics need larger populations; you're referring to the concept of "degrees of freedom", which is simply the number of independent variables minus one. Also, when doing something like a p-test, your rejection threshold depends on the number of degrees of freedom in addition to the p-value you chose (typically .05). | |
May 11, 2011 at 17:47 | history | asked | John Leidegren | CC BY-SA 3.0 |