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Learner Reviews & Feedback for Inferential Statistics by Duke University

4.8
stars
2,768 ratings

About the Course

This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data...

Top reviews

GP

Jan 7, 2021

The final project does not help, for example someone used discrete data 1,2,3,4,5 .... ,40 to compute a p.value as if it was normal. It is too general and does not fill the purpose of the course.

AC

Feb 17, 2019

The course is very well explained I had to refer other materials for ANOVA technique to understand it better hence that part can be either improved OR more reference material be provided

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351 - 375 of 485 Reviews for Inferential Statistics

By alessio z

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Mar 4, 2017

Great course !

By mausci71

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Aug 11, 2020

Great course!

By Vivek J

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Jun 6, 2020

good learning

By Soumya A

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Nov 26, 2019

good learning

By Thomas J H

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Aug 6, 2017

Very helpful.

By Julio C G C

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Aug 15, 2022

Muy muy bien

By Nicholas W

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Jul 13, 2020

Great course

By Jelena B

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Apr 30, 2018

Great course

By Xiao M

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Jan 1, 2018

Very helpful

By AGUSTÍN G G

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Oct 1, 2017

Excelent !!!

By Oscar V C

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Dec 28, 2016

Great course

By Lochan B

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Dec 5, 2016

Really good.

By Pavels S

•

Oct 21, 2016

great course

By Kanwar B S

•

Aug 9, 2016

Great course

By Houtan S

•

Jul 20, 2024

Good course

By Irene R O

•

Feb 28, 2021

¡Excelente!

By Greg S

•

May 31, 2019

good course

By Eyuel M

•

Nov 17, 2018

Just Great!

By 大大的尼玛

•

May 17, 2018

真棒 真棒 很好 哦耶

By ShuaiZhao

•

Feb 17, 2018

nice course

By Giovanni G

•

Oct 7, 2024

Wonderful!

By anupam d

•

Apr 16, 2023

Wonderful!

By John M V

•

Sep 27, 2021

<3 love it

By Eduardo M

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Jul 25, 2019

Excellent!

By Gilberto S G

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Dec 19, 2018

Excelente.