What is Skewness & Kurtosis ?
Lean Manufacturing & Six Sigma Worldwide
Data-Driven Decisions, Lean Processe? Explore the power of Statistics, Lean, and Six Sigma through our engaging videos.
Understanding Skewness and Kurtosis in Statistics
When analyzing data, we often encounter distributions that deviate from the idealized bell-shaped curve. Skewness and kurtosis are two statistical measures that help us understand the shape and characteristics of these distributions.
------------------------------------------------------------
?? ?????????????? ?????????? ???????? :https://youtu.be/EWuR4EGc9EY
------------------------------------------------------------
Skewness:
Skewness refers to the asymmetry of a distribution. Imagine a histogram representing data points. In a perfectly symmetric distribution (like a normal distribution), the left and right tails are equal in length. However, real-world data often exhibit skewness.
Skewness helps us understand the concentration of data around the mean. A symmetric distribution has zero skewness.
Kurtosis:
Kurtosis measures the “peakedness” or “flatness” of a distribution. Here’s what you need to know:
Why does kurtosis matter? It informs our choice of statistical techniques. For instance, high kurtosis may require robust statistical methods.
In summary, skewness and kurtosis provide valuable insights into the shape of data distributions. As data analysts, understanding these concepts helps us make informed decisions and choose appropriate models.
?? 75?? ?????????????????????? ???? ?????????????? ??????????????. ?????????????????? ???? ?????????????? ?????????????? :https://www.youtube.com/@DigitalELearning
?????????????? ???? ???? ?????????????? : https://twitter.com/DigitalELEARNI1
?? ???????????? ???? ???? ??????????????????: https://www.instagram.com/digital_elearning/
?????????????? ???? ?????? ?????????? ???????????????? ??????????????: https://www.whatsapp.com/channel/0029VaEWKWbIiRovZpAduc0p
?????????????? ???? ???????? ?????? ?????????? ???????????????? ??????????????: https://www.whatsapp.com/channel/0029VaAUuqs4inooet3e4S3O
?????????????? ???? ?????????????? ???????????????????? ???????????????? ??????????????:
Six Sigma Black Belt, Advance Problem Solving, Deming Daily Mgmt, Manufacturing Quality, Vendor Quality, TQBM, QMS, Gemba DD, Plant Capital Budgeting & Projects, Guide and Mentor the Advance Problem Solving projects.
4 个月Simple and clear explanation
--
4 个月very informative
Quality Systems Manager
4 个月Your Control Charts have information, all that you need to do is how you will manage your information. If you can dive deep in your data for a proper analysis
--
4 个月Kurtosis does NOT measure peakedness or flatness. You can have infinitely peaked distributions with very low kurtosis, and you can have perfectly flat-topped distributions with very high kurtosis. Kurtosis measures tail weight.
President at Thermaflo Incorporated
4 个月We have employed this in many areas of our manufacturing process