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Learner Reviews & Feedback for Improving your statistical inferences by Eindhoven University of Technology

692 ratings
226 reviews

About the Course

This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics answer different questions you might be interested in. Then, you will learn how to design experiments where the false positive rate is controlled, and how to decide upon the sample size for your study, for example in order to achieve high statistical power. Subsequently, you will learn how to interpret evidence in the scientific literature given widespread publication bias, for example by learning about p-curve analysis. Finally, we will talk about how to do philosophy of science, theory construction, and cumulative science, including how to perform replication studies, why and how to pre-register your experiment, and how to share your results following Open Science principles. In practical, hands on assignments, you will learn how to simulate t-tests to learn which p-values you can expect, calculate likelihood ratio's and get an introduction the binomial Bayesian statistics, and learn about the positive predictive value which expresses the probability published research findings are true. We will experience the problems with optional stopping and learn how to prevent these problems by using sequential analyses. You will calculate effect sizes, see how confidence intervals work through simulations, and practice doing a-priori power analyses. Finally, you will learn how to examine whether the null hypothesis is true using equivalence testing and Bayesian statistics, and how to pre-register a study, and share your data on the Open Science Framework. All videos now have Chinese subtitles. More than 30.000 learners have enrolled so far! If you enjoyed this course, I can recommend following it up with me new course "Improving Your Statistical Questions"...

Top reviews

May 13, 2021

Eye opening course. My first introduction to some of the issues surrounding p-values as well as how to better utilize them and what they truly represent. My first introduction to effect sizes as well.

Jun 28, 2020

Excellent explanations. Strong examples. Helpful exercises. Highly recommended for anyone who ever has to conduct inferential statistics or read anything that reports a p value or bayes factor.

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176 - 200 of 225 Reviews for Improving your statistical inferences

By Peter K

Mar 1, 2019

Excellent course. I learned a lot about inference.


Jun 12, 2020

Un excelente curso guiado por un muy buen maestro

By Miruš J

Nov 20, 2020

The most useful statical course I took so far.

By Reuben A

Apr 17, 2019

The best statistics course I have ever taken

By Leon W

Nov 26, 2016

Great course, much appreciated. Thanks a lot

By Brendan P

Oct 21, 2017

Excellent content and delivery throughout.

By Siméon C

Dec 6, 2020

It was just great ! Thank you very much !


Jun 8, 2020

This course is very useful! I recommend.

By Rossella M

Mar 25, 2020

Really useful and interesting course!


Jun 4, 2017

Interesting Course. Thanks so much!


Jun 29, 2021

One of the best courses on Coursera.

By Eleonora N

Jul 17, 2020

Just great. Very insightful course.

By Farid

Mar 12, 2017

Exactly what i needed. But now it

By Maureen M

Mar 20, 2019

The best MOOC in statistis ever!

By David S

Feb 15, 2021

Great content and lab document.

By Mark K

Jul 10, 2020

This was an exceptional course!

By Pablo B

Sep 22, 2017

Enjoyable, useful, necessary.

By Oana S

Dec 27, 2016

Amazing learning experience

By Maheshwar G

Jun 6, 2020

This is really impactful.

By Zahra A

Apr 28, 2017

Extremely useful course!

By Biju S

Dec 5, 2017

Very interesting course

By Alexander P

Jul 23, 2017

Phenomenal course!

By Pedro V

Dec 19, 2020

Very good course!

By Maria A T

Jun 16, 2017

Excellent course.

By martin j k

Nov 6, 2017