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学生对 Johns Hopkins University 提供的 Hypothesis Testing in Public Health 的评价和反馈

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课程概述

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....

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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 - Hypothesis Testing in Public Health 的 152 个评论（共 152 个）

创建者 Benjamin B

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Mar 26, 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.

创建者 MRH

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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.