GENERAL KNOWLEDGE

Detailed explanation-1: -With right-skewed distribution (also known as “positively skewed” distribution), most data falls to the right, or positive side, of the graph’s peak. Thus, the histogram skews in such a way that its right side (or “tail") is longer than its left side. Example of a right-skewed histogram.

Detailed explanation-2: -Right Skewed (Positively Skewed) Right skewed distributions occur when the long tail is on the right side of the distribution. Analysts also refer to them as positively skewed. This condition occurs because probabilities taper off more slowly for higher values.

Detailed explanation-3: -A distribution is called skewed left if, as in the histogram above, the left tail (smaller values) is much longer than the right tail (larger values). Note that in a skewed left distribution, the bulk of the observations are medium/large, with a few observations that are much smaller than the rest.