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 ...

This column is the fourth in a series on parameter estimation, leading up to the justly famous Kalman filter. The discipline is based on the fact that our knowledge of the state of any real-world ...

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 ...