Все публикации

Data and data visualizations: Data normalizations

Data and data visualizations: Populations, samples, case reports, and anecdotes

Data and data visualizations: Measures of dispersion (variance, standard deviation)

Data and data visualizations: Types of data: categorical, numerical, etc.

Probability theory: What is probability?

Probability theory: Sampling variability, noise, and other annoyances

Hypothesis testing: statistical vs. theoretical vs. clinical significances

Common statistical tests: correlation

Data and data visualizations: Visualizing data

Hypothesis testing: What are outliers and (why) are they dangerous?

Hypothesis testing: IVs, DVs, models, and hypotheses

Hypothesis testing: p-values

Common statistical tests: ANOVA

Probability theory: probability distributions

Common statistical tests: regression

Common statistical tests: t-test

Introduction to this short (90 minutes) free course

New textbook on statistics!

Modern statistics: Intuition, Math, Python, R :|: Chapter 12 exercise solutions and discussions

Modern statistics: Intuition, Math, Python, R :|: Chapter 07 exercise solutions and discussions

Modern statistics: Intuition, Math, Python, R :|: Chapter 13 exercise solutions and discussions

Modern statistics: Intuition, Math, Python, R :|: Chapter 11 exercise solutions and discussions

Modern statistics: Intuition, Math, Python, R :|: Chapter 16 exercise solutions and discussions

Modern statistics: Intuition, Math, Python, R :|: Chapter 09 exercise solutions and discussions