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I sent pic for help. This question has 4 parts

I sent pic for help. This question has 4 parts-example-1

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Step-by-step 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.

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