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Learner Reviews & Feedback for Hypothesis Testing in Public Health by Johns Hopkins University

4.8
stars
626 ratings

About the Course

Biostatistics is an essential skill for every public health researcher because it provides a set of precise methods for extracting meaningful conclusions from data. In this second course of the Biostatistics in Public Health Specialization, you'll learn to evaluate sample variability and apply statistical hypothesis testing methods. Along the way, you'll perform calculations and interpret real-world data from the published scientific literature. Topics include sample statistics, the central limit theorem, confidence intervals, hypothesis testing, and p values....

Top reviews

SF

May 21, 2020

You have to use outside sources and practice questions to really understand the material. This course makes you think and demands that you know the information. It was a great class. Thank you.

DK

Jul 18, 2020

excellant descriptions, good examples and challenging practice sessions. Better if some more were added about ANOVA also. If it is considered as advanced , then it is ok. Good experience

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151 - 151 of 151 Reviews for Hypothesis Testing in Public Health

By MRH

•

Mar 24, 2022

Thankfully, no peer assignments. Very elaborate quiz questions, often with subtle wording. Nontrivial number of typos. All the quizzes can be attempted 3 times in 8 hours, which is fair enough, but the final "project quiz" can only be taken once every 24 hours, which is an annoying set up. I prefer to review my mistakes immediately and try again, if needed.