Normality testing of data is important because it determines which statistical methods to apply on your data. Students/researchers/scholars let's gather here, watch this video and learn how to test for normality using jamovi software.
Kurtosis < 3 does not indicate " too flat". There are distributions with kurtosis3 does not indicate "too peaked." There are low, perfectly flat-topped distributions with very high kurtosis. Examples of such distributions are given on the current Wikipedia page. Kurtosis measures tail weight only.
@@peterwestfall6924 Wikipedia is never considered a trusted source and is never used by Universities and other higher learning institutions. Please buy and read the book "Mathematical Statistics with Applications" by K.M Ramachandran & Chris P. Tsokos. You will learn more about Skewness and Kurtosis in this book.
![Normality test [Simply Explained]](http://i.ytimg.com/vi/AVketBmpUTE/mqdefault.jpg)
Normality testing of data is important because it determines which statistical methods to apply on your data.
Students/researchers/scholars let's gather here, watch this video and learn how to test for normality using jamovi software.
Thanks alot 🙏. Now I know how to interpret skewness and kurtosis. Before I only knew how to interpret Shapiro-wilk results.
Nice, now you know 👍, keep practicing.
Kurtosis < 3 does not indicate " too flat". There are distributions with kurtosis3 does not indicate "too peaked." There are low, perfectly flat-topped distributions with very high kurtosis. Examples of such distributions are given on the current Wikipedia page. Kurtosis measures tail weight only.
@@peterwestfall6924 Wikipedia is never considered a trusted source and is never used by Universities and other higher learning institutions. Please buy and read the book "Mathematical Statistics with Applications" by K.M Ramachandran & Chris P. Tsokos. You will learn more about Skewness and Kurtosis in this book.