How is the variance related to the standard deviation in a data set?
- The variance is the average of the standard deviation
- The variance is the square of the standard deviation
- The variance is the square root of the standard deviation
- The variance is twice the standard deviation
The variance is the square of the standard deviation. Standard deviation is a measure of dispersion in a dataset and variance is a square of it, meaning that they both represent the same concept of dispersion, but in different units.
Loading...
Related Quiz
- What kind of relationship does Pearson's Correlation Coefficient measure?
- What is the Central Limit Theorem and why is it important for sampling distributions?
- What is the relationship between the Kruskal-Wallis Test and the Mann-Whitney U Test?
- What happens when the assumptions about residuals in linear regression are violated?
- In what situations is the coefficient of variation a better measure of dispersion than the standard deviation?