Any help would be much appreciated.(adsbygoogle = window.adsbygoogle || []).push({});

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?

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# Distribution of Data

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