Have you ever wondered what is the difference between Frequentist and Bayesian statistics? In this tutorial we went over the basic concepts of both approaches using inference for a proportion as an example.

Frequentist vs Bayesian battle is one of the “hot” topics in the statistics world. In this post, we will go over the differences between Frequentist and Bayesian approaches using a hypothesis testing for a population proportion. Note that the goal is to introduce the idea of both approaches, rather than selecting "the best" one.

Overview of the math behind an Ordinary Least Squares method, and what is needed to be taken into consideration when fitting a regression line.

Main idea of the Null Hypothesis Significance Testing. Intuition behind the p-value. How to perform t-tests, ANOVA, Binomial Test and Chi-squared Test.

Overview of the power and the effect size of the test and why low p-value is not always enough to make a decision.

Introduction to the inference for a population proportion using binomial test and $\chi^2$ test for independence.

Basic concept of the NHST and the idea of p-value. Overview of the inference for a population mean using one/two-sample $t$-tests and ANOVA.

Learn how you can update your prior beliefs using Bayes rule with the disease testing as an example.

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