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Comentários e feedback de alunos de Improving your statistical inferences da instituição Universidade Tecnológica de Eindhoven

721 classificações
236 avaliações

Sobre o curso

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"...

Melhores avaliações


13 de mai de 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.


28 de jun de 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 de 235 Avaliações para o Improving your statistical inferences

por Marco Z

21 de jul de 2021

I would recommend this course to everyone starting a PhD.

por Tiago L

24 de ago de 2020

Magnific! Best statistics course I've ever seen anywhere.

por Fernando B

3 de set de 2021

The best course on the subject I have seen in my life!

por Kıvanç K

20 de ago de 2020

Excellent lecture, every social scientist should take!

por Shringi

24 de abr de 2020

A must take course for any advance statistics student.

por Tomás d l R M

8 de nov de 2019

Amazing course! Very useful to researchers in any area

por Heidi M

30 de dez de 2016

fun and very informative course - thank you very much!

por Justyna J Z

29 de abr de 2018

Very engaging, I love the way this course is taught!

por Jesús D Z M

12 de jun de 2017

very, very great course about inferential statistics

por Bruno V

19 de fev de 2019

Thank you daniel, very educational, I learned a lot

por Peter K

1 de mar de 2019

Excellent course. I learned a lot about inference.


12 de jun de 2020

Un excelente curso guiado por un muy buen maestro

por Miruš J

20 de nov de 2020

The most useful statical course I took so far.

por Reuben A

17 de abr de 2019

The best statistics course I have ever taken

por Leon W

26 de nov de 2016

Great course, much appreciated. Thanks a lot

por Brendan P

21 de out de 2017

Excellent content and delivery throughout.

por Siméon C

6 de dez de 2020

It was just great ! Thank you very much !


8 de jun de 2020

This course is very useful! I recommend.

por Rossella M

25 de mar de 2020

Really useful and interesting course!

por JOHN Q

4 de jun de 2017

Interesting Course. Thanks so much!


29 de jun de 2021

One of the best courses on Coursera.

por Eleonora N

17 de jul de 2020

Just great. Very insightful course.

por Farid

12 de mar de 2017

Exactly what i needed. But now it

por Maureen M

20 de mar de 2019

The best MOOC in statistis ever!

por David S

15 de fev de 2021

Great content and lab document.