How does kurtosis affect the tails of a distribution?
- Changes the skewness
- Has no effect
- Makes the tails fatter
- Makes the tails thinner
Kurtosis is a statistical measure that defines how heavily the tails of a distribution differ from the tails of a normal distribution. In other words, kurtosis identifies whether the tails of a given distribution contain extreme values. Positive kurtosis indicates a distribution with tails or outliers that are fatter and more extreme than a normal distribution.
Loading...
Related Quiz
- What are some potential issues with interpreting the results of factor analysis?
- The ________ measures the proportion of the variance in the dependent variable that is predictable from the independent variables in a multiple linear regression.
- What is a Type I error in the context of hypothesis testing?
- The _________ is crucial in hypothesis testing and the construction of confidence intervals.
- What is the difference between a one-tailed and a two-tailed test?