Shape of the Distribution

There are three types of kurtosis which is a description of the "peakedness" or "flatness" of the probability distribution curve relative to the bell curve of a normal distribution. This does not have to do with skewness.

1) **Platykurtic** - __negative__ kurtosis value indicating a flatter distribution that normal bell curve. The lower the value the flatter the distribution with more spread. An example is the Uniform Distribution which has a kurtosis = -1.2.

2) **Leptokurtic** - __positive__ kurtosis value indicating a peaked shaped distribution compared to normal bell curve. The higher the value the sharper the peak the distribution and less spread. An example is the Double Exponential Distribution which has a kurtosis = 3.

3) **Mesokurtic** - when __kurtosis value = 0__. A normal distribution has a kurtosis value of zero. It is in between the first two types.

The formula for calculating kurtosis is shown below with an example. The sample size must be a least four.

s = sample standard deviation

n = number of samples

There are two sets of data shown with 15 samples each. The calculations are shown with the kurtosis value for each set. The formula in Excel is shown in the upper right.

Custom Search

**Six Sigma**

**Templates, Tables & Calculators**

**Six Sigma Certification**

**Six Sigma** Slides

*Green Belt Program (1,000+ Slides)*

*Basic Statistics*

*Cost of Quality*

*SPC*

*Process Mapping*

*Capability Studies*

*MSA*

*SIPOC*

*Cause & Effect Matrix*

*FMEA*

*Multivariate Analysis*

*Central Limit Theorem*

*Confidence Intervals*

*Hypothesis Testing*

*T Tests*

*1-Way ANOVA*

*Chi-Square*

*Correlation and Regression*

*Control Plan*

*Kaizen*

*MTBF and MTTR*

*Project Pitfalls*

*Error Proofing*

Z Scores

*OEE*

*Takt Time*

*Line Balancing*

*Yield Metrics*

*Practice Exam*

*... and more*