Hypothesis testing

Who would you rather date, Bayes Factor or p-value? (in Russian)

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.

Who would you rather date, Bayes Factor or p-value?

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.

Statistical Hypothesis Testing (in Russian)

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.

Null Hypothesis Significance Testing, part 3

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

Null Hypothesis Significance Testing, part 2

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

Null Hypothesis Significance Testing, part 1

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.