Tag: R

Programming language R

Statistics

Why use stratification?

Published 2021-06-27 In statistical sampling, stratification is a strategy used to improve precision (lower standard error) of the estimate while maintaining a reasonable sample size. Before we can talk about stratification, we first have to cover what simple random sampling is. Simple Random Sampling Simple random sampling is perhaps the most well-known sampling strategies to […]

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Statistics

Basics of Bayesian Inference

Published 2021-06-20 Bayesian statistics is heavily used in decision theory and data science; however, many statistics programs at most universities do not require any Bayesian statistics courses to be taught throughout the entire program. I know “traditional” statisticians are not comfortable with Bayesian statistics. I’m hoping this post will maybe explain why they think that […]

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Statistics

Confidence Intervals

Published on 2021-05-23 In my previous post about the Central Limit Theorem, I said that I would make a dedicated post about confidence intervals. Well, here it is. Introduction Before we jump into what confidence intervals are, it’s important to go over some basic terminology. In the field of statistics, a population is the entire […]

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Statistics

Central Limit Theorem

Published on 2021-05-16 Anyone who has taken an introductory statistics course probably learned about the Central Limit Theorem (CLT). During my time as a Teaching Assistant at George Mason University, I noticed that students don’t quite understand what CLT is or why CLT is important. Hopefully, this post can serve as another reference for those […]

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