Healthcare
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Hypothesis Testing in Public Health

Course Cover

5

(8)

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Course Features

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Duration

19 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

19 hours

Course Description

Because it offers a precise set of methods to extract meaningful conclusions from data, biostatistics is essential for any public health researcher. This second course in the Biostatistics in Public Health Specialization will teach you how to assess sample variability and use statistical hypothesis testing methods. You'll learn how to perform calculations and interpret data from real-world sources. The topics include central limit theorem and sample statistics. Confidence intervals, hypothesis testing, hypothesis testing, confidence intervals, and p values.

Course Overview

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International Faculty

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Use statistical methods to analyze sampling distribution

Estimate and interpret 95% confidence intervals for single samples

Estimate and interpret 95% confidence intervals for two populations

Estimate and interpret p values for hypothesis testing

Course Instructors

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John McGready, PhD, MS

Associate Scientist, Biostatistics

Since joining the faculty at Hopkins, Dr. McGready has split his time between research collaborations and statistical education. He is the primary instructor for “Statistical Reasoning in Public Hea...

Course Reviews

Average Rating Based on 8 reviews

5.0

100%

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