Chevron Left
Back to Inferential Statistics

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

Filter by:

476 - 485 of 485 Reviews for Inferential Statistics

By Keith B L S

•

Apr 4, 2022

Good job!

By Pua, A C R

•

May 2, 2024

neat

By JERALD P N

•

Apr 22, 2021

Tutorial to use the program or software is fundamental in this course

By Alberto M

•

Jul 19, 2021

Nothing really works well and instructions are not clear.

By vivek d

•

Apr 29, 2021

will do it later , right too complicated

By Muneera M

•

Nov 6, 2021

please tel me how to enroll for free

By SachinVargheseBiju

•

Jul 18, 2020

very irritating

By Deleted A

•

Apr 21, 2021

putang ina

By Farzad S

•

Jul 25, 2019

awful!!

By Raul R

•

Dec 9, 2019

pesimo