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    Back to Hypothesis Testing in Public Health

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

    Filled StarFilled StarFilled StarFilled StarFilled Star
    4.8
    stars
    637 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

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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

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    By MRH

    •

    Mar 23, 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.

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