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Improving your statistical inferences(으)로 돌아가기

아이트호벤 공과 대학의 Improving your statistical inferences 학습자 리뷰 및 피드백

718개의 평가
236개의 리뷰

강좌 소개

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"...

최상위 리뷰


2021년 5월 13일

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.


2017년 3월 1일

Excellent course. The lecturer has written code snippets that let the students visualize the meaning and interrelationship of p-values confidence-intervals power effect-size bayesian-inference.

필터링 기준:

Improving your statistical inferences의 235개 리뷰 중 176~200

교육 기관: Marco Z

2021년 7월 21일

I would recommend this course to everyone starting a PhD.

교육 기관: Tiago L

2020년 8월 24일

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

교육 기관: Fernando B

2021년 9월 3일

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

교육 기관: Kıvanç K

2020년 8월 20일

Excellent lecture, every social scientist should take!

교육 기관: Shringi

2020년 4월 24일

A must take course for any advance statistics student.

교육 기관: Tomás d l R M

2019년 11월 8일

Amazing course! Very useful to researchers in any area

교육 기관: Heidi M

2016년 12월 30일

fun and very informative course - thank you very much!

교육 기관: Justyna J Z

2018년 4월 29일

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

교육 기관: Jesús D Z M

2017년 6월 12일

very, very great course about inferential statistics

교육 기관: Bruno V

2019년 2월 19일

Thank you daniel, very educational, I learned a lot

교육 기관: Peter K

2019년 3월 1일

Excellent course. I learned a lot about inference.


2020년 6월 12일

Un excelente curso guiado por un muy buen maestro

교육 기관: Miruš J

2020년 11월 20일

The most useful statical course I took so far.

교육 기관: Reuben A

2019년 4월 17일

The best statistics course I have ever taken

교육 기관: Leon W

2016년 11월 26일

Great course, much appreciated. Thanks a lot

교육 기관: Brendan P

2017년 10월 21일

Excellent content and delivery throughout.

교육 기관: Siméon C

2020년 12월 6일

It was just great ! Thank you very much !


2020년 6월 8일

This course is very useful! I recommend.

교육 기관: Rossella M

2020년 3월 25일

Really useful and interesting course!

교육 기관: JOHN Q

2017년 6월 4일

Interesting Course. Thanks so much!

교육 기관: JUNAID A

2021년 6월 29일

One of the best courses on Coursera.

교육 기관: Eleonora N

2020년 7월 17일

Just great. Very insightful course.

교육 기관: Farid

2017년 3월 12일

Exactly what i needed. But now it

교육 기관: Maureen M

2019년 3월 20일

The best MOOC in statistis ever!

교육 기관: David S

2021년 2월 15일

Great content and lab document.