Why do we calculate skewness?
Skewness is a measure of the symmetry in a distribution. ... It measures the amount of probability in the tails. The value is often compared to the kurtosis of the normal distribution, which is equal to 3. If the kurtosis is greater than 3, then the dataset has heavier tails than a normal distribution (more in the tails).
Related posts:
- What is a normal distribution table? - The Standard Normal Distribution Table. The standard... (Read more)
- What is Z in Z-table? - The z-table is short for the “Standard... (Read more)
- What is the z-value? - The Z-value is a test statistic for... (Read more)
- What is normal distribution used for? - The normal distribution is a probability function... (Read more)
- Why is normal distribution not good for financial data? - Give a reason why a normal distribution,... (Read more)
- Why is it called the normal distribution? - The normal distribution is often called the... (Read more)
- How do you determine if a distribution is skewed? - A distribution is skewed if one of... (Read more)
- What causes skewed distribution? - Data skewed to the right is usually... (Read more)
- What causes a negatively skewed distribution? - A distribution is negatively skewed, or skewed... (Read more)
- How do you determine skewness of data? - One measure of skewness, called Pearson's first... (Read more)