Distribution of Non-Gaussian Data: Analysis & Presentation

[JohnFishy]

Any help would be much appreciated.

The problem lies in the non-Gaussian distribution of the sample. If we take the entire data set of total fish catch, the skewness statistic equals 7.463 with a std. error of skewness of 0.39. Accordingly, the Z dist. (7.463/0.39)=19.14. Overall, the mean=8.75, std deviation=15.27, and std. error of mean=.245, median=4.5, range=299.97. Percentiles at 25%=2, 50%=4.5, and 75%=9.7. here is a histogram of the entire data set: http://imgur.com/4nHCyRl. I would like to split the data into season so what kind of correlations can be applicable in this scenario with such a non-normally distributed data set? Likewise, how would one present this data? the std deviation is almost twice as large as the mean. Would you use std error of mean instead?

 

[BvU]

Hi John,

Are you familiar with the Poisson () distribution ? If not, then you should read up on it.

 

[micromass]

Hi John,

Are you familiar with the Poisson () distribution ? If not, then you should read up on it.

A Poisson distribution can not have a standard deviation that is double that of the mean.

It might be a gamma for example though.

 

[BvU]

Yeah, well some guys catch nothing and others hook 250. So the question is: what are we looking at, dear JohnFishy ?
From looking at the other thread I suspect we are looking at 4765 kg of bird caught by 400 people ?
So 12 kilogram of bird on average, and we are trying to find a standard deviation to accompany this 12 kg ?