Define Skewness.
Question
Also explain what is meant by negative value of skewness.
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Statistics
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Answers ( 3 )
The negative value of skewness means the normal distribution curve is left skewed and have some low values in the dataset wher majority data is high.
Example: 1,4, 200,260,300,450
Skewness means lack of symmetry , it gives an idea about the shape of the curve which we can draw with the help of the given data.
Negative value of skewness means that the tail is on the left side of the distribuution which signifies that the median is at the point that divides the area into two equal parts, the mean is to the left than the median, more towards the
tail on the left side, and the mode is at the peak of the data.
SKewness is simply the measure of how much probability distribution deviates from a normal distribution. The diagram shows the difference between Positive skewness and Negative skewness.