Mean
Mean is the average of the numbers in the data distribution, It is calculated by adding up all the values in the dataset and dividing the sum by the number of values in the dataset.
Mean= Sum of all values in Dataset / Total number of values
Example: Find the mean of a dataset of exam scores: 70, 80, 85, 90, and 95.
Solution:
Mean = (70 + 80 + 85 + 90 + 95) / 5 = 84
So the mean of this dataset is 84.
Skewness Formula
The measure of skewness tells us the direction and the extent of skewness. In symmetrical distribution the mean, median, and mode are identical. the more the mean moves away from the mode, the larger the asymmetric or skewness.
Before learning let’s learn more about Mean, Median, and Mode first.
Table of Content
- Skewness Formula
- Type of Skewness
- Positive Skewness
- Negative Skewness
- Zero Skewness
- Methods to Measure Skewness
- Karl Pearson’s Co-efficient of Skewness
- Solved Examples on Skewness Formula
- FAQs on Skewness
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