Actually, Pearson's kurtosis tells you nothing about "flatness" or "peakedness". It measures tails (outliers) only. Your distribution graphs actually just show differences in variance, not differences in kurtosis. You need to make the distributions have the same variance for adequate comparison. But even when you do that, it is difficult to distinguish differences in kurtosis because the tails are close to zero, even when the distribution has fat tails. (And height of peak is irrelevant, because you can have infinitely high peaks with low kurtosis and low peaks with high kurtosis). A better way to distinguish low and high kurtosis is to look at normal quantile-quantile plots, where it is easy to see the difference.
@sohailmirza21343 жыл бұрын
Thanks for explaining the interpretation of skewness and kurtosis
@E-Academy3 жыл бұрын
Can you provide the reference for this talk? I wanna quote it by reference so, Would you help?
@versace15897 жыл бұрын
can you provide the file for that please :(
@inFAMOUSnews6 жыл бұрын
Paypal me $10 and I will
@ceellama4 жыл бұрын
You should share that excel file :) how do you make the lines for the kurtosis?
@5eanalytics4 жыл бұрын
The lines are just drawn. I’ll make the excel files available on our blog website
@villwang80054 жыл бұрын
can curtosis be exactly 0?
@4Dul694 жыл бұрын
This was really helpful for my excel class but I have one question. Why aren't you outside in some party dude it's Sunday 8:33 come on !!