I'm trying to figure out if a certain data distribution is Gaussian. I know there are certain characteristics that define a Gaussian distribution, but I'm not sure how to apply them to determine if my data follows this pattern.
6 answers
CharmedSun
Sat Dec 07 2024
Testing the hypothesis that your data were sampled from a Normal (Gaussian) distribution can be approached in two main ways.
CryptoProphet
Sat Dec 07 2024
Visually, you can utilize QQ-plots and histograms to assess the normality of your data. QQ-plots compare the quantiles of your data to the quantiles of a normal distribution, while histograms provide a visual representation of the distribution's shape.
Maria
Fri Dec 06 2024
Statistically, there are tests available to determine the normality of your data. Tests such as D'Agostino-Pearson and Kolmogorov-Smirnov are commonly used.
KimonoGlory
Fri Dec 06 2024
The D'Agostino-Pearson test is a good choice for small to moderate-sized datasets and provides a comprehensive assessment of normality.
Andrea
Fri Dec 06 2024
The Kolmogorov-Smirnov test, on the other hand, is more sensitive to deviations in the tail of the distribution and is suitable for larger datasets.