The importance of “Sampling” cannot be overstated. The conclusions we draw from the data as well as the quality of the machine learned model significantly depends on how we sample the data. However there are many different ways to sample the data and expressing these different ways of sampling in SQL can often be tricky. […]

# Rejection Sampling: Intuitive Understanding

Rejection sampling is one of the many techniques to generate samples from a distribution. Below is an attempt to intuitively (and visually) explain the approach. Basic Intuition For simplicity, as indicated by the blue line in Fig A., let’s assume the target distribution from which you want random samples is a truncated normal distribution with […]

# Statistics is a veal pie

there are no facts, only interpretations Statistics is the study of the collection, organization, analysis, and interpretation of data.[1][2] It deals with all aspects of this, including the planning of data collection in terms of the design of surveys and experiments.[1] A statistician is someone who is particularly well versed in the ways of thinking […]

# Expected Value: E(X) – YouTube

# Choosing Between a Nonparametric Test and a Parametric Test

You may have heard that you should use nonparametric tests when your data don’t meet the assumptions of the parametric test, especially the assumption about normally distributed data. But there are additional considerations. This post will help you determine when you should use a parametric analysis to test group means or a nonparametric analysis to […]