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

4.8
stars
646 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

AA

Jul 8, 2021

Excellent course, excellent teaching. Prof McGready knows his stuff and also knows how to teach it. The projects exercices are fun to work on and see how statistics is used in research.

BV

Mar 30, 2020

Very well-organized course. Easy to understand. I also enjoyed solving Formative and Summative Quizzes and enjoyed answering to Project Questions.

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151 - 152 of 152 Reviews for Hypothesis Testing in Public Health

By Benjamin B

Mar 27, 2022

This instructor is shows the difference between being knowledgeable and being effective at teaching. I find his presentation overly wordy, over complicated and difficult to follow. Could break up into smaller sections like chi-square being one video and fisher's exact being a seperate video instead of one 18 minute video. He completely lost me during Week 2 on confidence intervals, I passed that week's quiz purely by brute force rather then actually understanding it.

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.