Skip to main content

Timeline for How to NOT use statistics

Current License: CC BY-SA 3.0

20 events
when toggle format what by license comment
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
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
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