How do you interpret skewness and kurtosis values?
A general guideline for skewness is that if the number is greater than +1 or lower than –1, this is an indication of a substantially skewed distribution. For kurtosis, the general guideline is that if the number is greater than +1, the distribution is too peaked.
Related posts:
- What does it mean when a distribution is skewed? - A distribution is skewed if one of... (Read more)
- What does it mean when a histogram is skewed to the left? - If the histogram is skewed left, the... (Read more)
- What purpose does a measure of skewness serve? - Skewness is a descriptive statistic that can... (Read more)
- Why is skewness important? - The primary reason skew is important is... (Read more)
- Is positive or negative skewness better? - A positive mean with a positive skew... (Read more)
- What is significant skewness? - As a general rule of thumb: If... (Read more)
- How do you find the skewness of a distribution? - Calculation. The formula given in most textbooks... (Read more)
- How can you tell if data is normally distributed? - You may also visually check normality by... (Read more)
- What does it mean when data is normally distributed? - What is Normal Distribution? Normal distribution, also... (Read more)
- Why is it important to know if data is normally distributed? - One reason the normal distribution is important... (Read more)