0

Looking for some help. Here's my qq plot. I already deleted the most extreme outliers, but some remain. Also, what about the distributional assumption?

enter image description here

  • Seems like you are dealing with a fat tailed distribution. Note that for such distribution the statistical properties are much worse. – Dole May 29 '17 at 18:08
  • 1
    Without some hint of what's on what axis this plot isn't much use – Glen_b May 30 '17 at 06:55

1 Answers1

1

I would say it fails to meet normality assumptions because of its divergence at the tails. However, you could use something like an Anderson-Darling test to test for normality more precisely. You can not particularly assume outliers from the qqplot -- but just that some points fray from a normal distribution.

As @Dole noted, you have fat tails and your data could be a t-distribution.

I would also check out this wonderful answer for further qq plot questions: How to interpret a QQ plot

a.powell
  • 1,047
  • 7
  • 19
  • 1
    There just as easily could be *short* tails: it all depends on what the axes mean. I believe we can figure out which axis is which, but that merits some explanation. – whuber May 29 '17 at 18:14