Central Limit Theorem: A sampling distribution of the mean is approximately normally distributed if the sample size is sufficiently large. This is true no matter what the population distribution is.

In statistics, a population refers to the entire group of individuals or items that we are interested in studying. However, collecting data from the whole population is often impractical due to size, ...

In this project, I utilized the NHANES (National Health and Nutrition Examination Survey) 2015-2016 dataset to compute the difference in mean systolic blood pressures between two samples. The aim was ...

This project explores sampling from a 2D Gaussian distribution using Python libraries Numpy and Matplotlib. Key tasks include: Drawing 100 samples from a Gaussian distribution with a mean of [0, 0] ...

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 ...