lower_bound = float(lower_bound_entry.get())#upper bound upper_bound = float(upper_bound_entry.get())#lower bound # Creating the distribution curve data = np.linspace ...

This script allows users to generate and analyze normally distributed data, perform ANOVA, and export the results to an Excel file. The script follows a series of steps, starting from data input and ...

The normal distribution (also known as the Gaussian distribution) is arguably the most important distribution in Statistics. It is often used to represent continuous random variables occurring in ...

The normal distribution is a continuous probability distribution that is symmetrical, bell-shaped, and centred around its mean. It is one of the most important distributions in statistics because many ...