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Back to What are the Chances? Probability and Uncertainty in Statistics

Learner Reviews & Feedback for What are the Chances? Probability and Uncertainty in Statistics by Johns Hopkins University

12 ratings

About the Course

This course focuses on how analysts can measure and describe the confidence they have in their findings. The course begins with an overview of the key probability rules and concepts that govern the calculation of uncertainty measures. We’ll then apply these ideas to variables (which are the building blocks of statistics) and their associated probability distributions. The second half of the course will delve into the computation and interpretation of uncertainty. We’ll discuss how to conduct a hypothesis test using both test statistics and confidence intervals. Finally, we’ll consider the role of hypothesis testing in a regression context, including what we can and cannot learn from the statistical significance of a coefficient. By the end of the course, you should be able to discuss statistical findings in probabilistic terms and interpret the uncertainty of a particular estimate....
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1 - 5 of 5 Reviews for What are the Chances? Probability and Uncertainty in Statistics

By vignaux

Jul 24, 2021

great and interest course

By Deleted A

May 19, 2021

Excellent course.

By Maggie H

Mar 13, 2022

By Kuralay

Nov 10, 2022

The course is interesting and provided me with basic understanding of probability and uncertainties. However, I wanted to finish the course as faster as I could to receive my certificate but with final peer review assessment you will need to wait till someone reviews your final assignment. It is not comfortable if you would like to receive your certificate asap.

By Zoë S

Feb 21, 2023

The course itself is okay I guess. Some topics were well explained, although the tests were quite easy compared to the material. However, my biggest issue with the course is the peer review assessment. Since this course is not as popular, I'm still waiting on good grading. Also, someone did grade, but failed me in everything, which is not fair.