Explanation
Skewness refers to a distortion or asymmetry that deviates from the symmetrical bell curve, or normal distribution, in a set of data.
There are two main things that make a distribution skewed left: The mean is to the left of the peak. This is the main definition behind “skewness”, which is technically a measure of the distribution of values around the mean. The tail is longer on the left.
A "skewed right" distribution is one in which the tail is on the right side. A "skewed left" distribution is one in which the tail is on the left side. The above histogram is for a distribution that is skewed right.
From the given question
Part B
Since the answer to part A is option C
We can infer from the definition above that the tail is on the right-hand side
Therefore, It is Right-Skewed.
