Skip to main content

Timeline for t-test on highly skewed data

Current License: CC BY-SA 4.0

11 events
when toggle format what by license comment
Feb 6, 2023 at 3:05 history edited kjetil b halvorsen CC BY-SA 4.0
deleted 44 characters in body
Feb 8, 2017 at 21:35 answer added Weiwen Ng timeline score: 2
Sep 23, 2013 at 14:55 vote accept Chris
Sep 13, 2013 at 19:21 comment added zkurtz Keep in mind that i.i.d. is two separate assumptions. The first is 'independent'. The second is 'identically distributed'. You seem to be suggesting that the observations are not 'identically distributed'. This should not affect the answers provided so far, as we can still assume that all the observations are from one big mixture of distributions. But if you think that the observations are not independent, that is a much different and potentially more difficult issue.
Sep 13, 2013 at 16:47 answer added whuber timeline score: 41
Sep 13, 2013 at 15:10 history edited Chris CC BY-SA 3.0
Added last paragraph to point to i.i.d requirement of CLT as possible point of failure of the method.
Sep 13, 2013 at 1:39 answer added zkurtz timeline score: 5
Sep 12, 2013 at 23:06 comment added FairMiles And why do you think that the permutation test should be different? (if both groups have a similarly non-normal distribution)
Sep 12, 2013 at 22:08 comment added Chris More than half the values are zero, indicating half the people had no medical care that year.
Sep 12, 2013 at 21:42 comment added Alecos Papadopoulos How does it happen that both the minimum value and the median of your data is zero?
Sep 12, 2013 at 20:53 history asked Chris CC BY-SA 3.0