Normal Distribution Analyser

This function automatically validates the normality of your data using 9 appropriate statistical and visualization techniques.

The Normal Distribution Analyser function offers automatic visual insights through histograms and Q-Q plots, and also provides essential statistical measures like skewness and kurtosis. It evaluates your data against renowned statistical tests including Shapiro-Wilk, Kolmogorov-Smirnov, Anderson-Darling, Jarque-Bera, and Lilliefors tests. The function compiles resulting P-values in a concise table, allowing you to determine whether your data follows a normal distribution accurately. It enhances your data analysis with this indispensable utility, ensuring robust statistical assessments.

Key Features:

• Automatic detection of Normal Distribution data
• Histogram and Q-Q plot visualization
• Skewness and kurtosis assessment
• Shapiro-Wilk, Kolmogorov-Smirnov, Anderson-Darling, Jarque-Bera, and Lilliefors tests
• Tabulated output of P-values for easy interpretation
• Precise evaluation of data normality