Chevron Left
Voltar para Improving your statistical inferences

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

4.9
estrelas
747 classificações

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

MS

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.

AB

23 de fev de 2020

Easy to follow, well structured, good references, empathy of presenter. I will recomend this to other friends who made Black Belt certification and still don't have clear what the Pvalue is for.

Filtrar por:

76 — 100 de 244 Avaliações para o Improving your statistical inferences

por Jaroslav G

•

5 de fev de 2018

por Srinivas R

•

9 de out de 2017

por Chandrani S

•

10 de set de 2021

por Jonas S

•

16 de nov de 2016

por Rebecca W

•

17 de jul de 2017

por Carlos L F

•

18 de jul de 2017

por Mark G

•

9 de mai de 2021

por Mark S

•

14 de mai de 2021

por Aishwar D

•

25 de ago de 2018

por Paul

•

29 de jun de 2020

por Alvaro M B

•

23 de fev de 2020

por Victor M

•

11 de jul de 2021

por Yaron K

•

2 de mar de 2017

por Georgia P

•

18 de jun de 2021

por Andrés C M

•

25 de mar de 2019

por Alvaro B

•

23 de mar de 2022

por Miroslav R

•

22 de fev de 2018

por Bob H

•

6 de out de 2017

por Turgon R

•

27 de nov de 2020

por Tiago Z

•

19 de jun de 2018

por Rizqy A Z

•

10 de jul de 2018

por Yashar Z

•

16 de out de 2016

por Marcin K

•

22 de dez de 2016

por Kevin H

•

13 de mai de 2019

por Cesar M

•

9 de out de 2022

Coursera Footer

Comece ou impulsione sua carreira

Procurar temas populares

Cursos e artigos populares

Consiga um diploma ou certificado on-line

Coursera

Comunidade

Mais

Aprenda em qualquer lugar
Placeholder
Placeholder
Placeholder