Let us consider a histogram, where the initial few X axis values have high frequency (almost equal to the mode), but then the frequency drops and it looks like a normal left skewed distribution. Is it still called a left skewed distribution? and is the initial high frequencies called heavy tail or is it added along with the long tail?

Hi @theerthasenan,

I think you should recheck the skewness principle once again. In Left skewed distribution, frequency values on right side on x-axis are higher.

The one you’re referring to is called right skewed distribution.

Just to clear a few things, a heavy tail means the weight ( frequency*value) is heavy.

Refer to the following graphs for better understanding:

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