Kurtosis Formula - Statistics
Learn the kurtosis formula with examples, step-by-step guide, and calculator tools. Measure the tailedness of a probability distribution
The kurtosis formula is a fundamental concept in statistics. Measure the tailedness of a probability distribution. This page provides a comprehensive guide with worked examples and practical applications.
The Formula
Variables
Step-by-Step Guide
- 1
Step 1: Gather your data values
- 2
Step 2: Apply the formula
- 3
Step 3: Perform the calculations
- 4
Step 4: Interpret the result
Examples
Example 1
Example 1: [1,2,3,4,5] → Excess kurtosis ≈ 0 for normal distribution
Example 2
Example 2: -1.3 (platykurtic)
Frequently Asked Questions
What is the kurtosis formula?
Measure the tailedness of a probability distribution
How do I calculate kurtosis formula?
Use the formula: \text{Kurt} = \frac{n(n+1)}{(n-1)(n-2)(n-3)} \sum_{i=1}^{n} \left(\frac{x_i - \bar{x}}{\sigma}\right)^4 - \frac{3(n-1)^2}{(n-2)(n-3)}. Follow the steps provided above.
What tools can help with kurtosis formula?
We provide online calculators: statistics-calculator