This course is part of the Biostatistics in Public Health Specialization

4.8
stars
567 ratings

John McGready, PhD, MS

14,341 already enrolled

Offered By

Biostatistics in Public Health SpecializationJohns Hopkins University

About this Course

16,065 recent views

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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Course 2 of 4 in the

Biostatistics in Public Health Specialization

Beginner Level

The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.

Approx. 19 hours to complete

English

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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

Skills you will gain

Confidence Interval
Statistical Hypothesis Testing
p values
sampling

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 2 of 4 in the

Biostatistics in Public Health Specialization

Beginner Level

The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.

Approx. 19 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.81/5 (148 Ratings)

John McGready, PhD, MS

Associate Scientist, Biostatistics

Bloomberg School of Public Health

77,038 Learners

6 Courses

Offered by

Johns Hopkins University

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Syllabus - What you will learn from this course

Content Rating95%(1,013 ratings)

Week1

Week 1

3 hours to complete

Sampling Distributions and Standard Errors

3 hours to complete

6 videos (Total 74 min), 1 reading, 2 quizzes

6 videos

Introduction2mSampling Distribution Definition9mExamples: Sampling Distribution for a Single Mean16mExamples: Sampling Distribution for a Single Proportion, Incidence Rate16mEstimating Sampling Distribution Characteristics from Single Samples of Data22mAdditional Examples7m

1 reading

Formative Quiz 1 Solutions10m

2 practice exercises

Practice Quiz1hSampling Distributions and Standard Errors45m

Week2

Week 2

3 hours to complete

Confidence Intervals for Single Population Parameters

3 hours to complete

6 videos (Total 70 min), 1 reading, 2 quizzes

6 videos

Introduction2mConfidence Intervals for Single Population Parameters15mConfidence Intervals for Population Proportions and Incidence Rates15mSo What Is a Confidence Interval, and How Should It Be Interpreted?13mA Note on Confidence Intervals for Population Quantities Based on Small Samples15mAdditional Examples8m

1 reading

Formative Quiz 2 Solutions10m

2 practice exercises

Practice Quiz: Confidence Intervals for Single Population Parameters1hQuiz: Confidence Intervals for Single Population Parameters1h

4 hours to complete

Confidence Intervals for Population Comparison Measures

4 hours to complete

8 videos (Total 121 min), 1 reading, 2 quizzes

8 videos

Introduction2mConfidence Intervals for Population Comparison Measures15mConfidence Intervals for Comparing Means of Continuous Outcomes Between Two Populations28mConfidence Intervals for Binary Comparisons: Part 1, Difference in Proportions12mConfidence Intervals for Binary Comparisons: Part 2, Ratio of Proportions and Odds Ratios24mConfidence Intervals for Incidence Rate Ratios10mA Brief Note About Ratios (Again)11mAdditional Examples17m

1 reading

Solutions, Formative Assessment10m

2 practice exercises

Practice Quiz: Confidence Intervals for Population Comparison Measures1hConfidence Intervals for Population Comparison Measures1h

Week3

Week 3

3 hours to complete

Two-Group Hypothesis Testing: The General Concept and Comparing Means

3 hours to complete

6 videos (Total 95 min), 1 reading, 2 quizzes

6 videos

Introduction1mHypothesis Testing: The General Concept, and for Comparing Means Between Two Populations17m(Hypothesis Testing) Comparing Means Between Two Populations: The Paired Approach21m(Hypothesis Testing) Comparing Means Between Two Populations: The Unpaired Approach20mDebriefing on the p-Value, Part 120mAdditional Examples12m

1 reading

Solutions, Formative Asessment10m

2 practice exercises

Practice Quiz: Two-Group Hypothesis Testing: The General Concept and Comparing MeansTwo-Group Hypothesis Testing: The General Concept and Comparing Means, and Earlier Course Material1h

Week4

Week 4

4 hours to complete

Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing

4 hours to complete

11 videos (Total 138 min)

11 videos

Introduction1m(Hypothesis Testing) Comparing Proportions Between Two Populations: The “z-Test” Approach12m(Hypothesis Testing) Comparing Proportions Between Two Populations: Chi-Square and Fisher’s Exact Test Approaches23mHypothesis Tests for Comparing Incidence Rates Between Two Populations20mDebriefing on the p-Value and Hypothesis Testing, Part 28mAdditional Examples8mIntroduction2m(Hypothesis Testing) Comparing Means Between More Than Two Populations: Analysis of Variance (ANOVA)18m(Hypothesis Testing) Comparing Proportions Between More Than Two Populations: Chi-Square Tests14mHypothesis Testing) Comparing Survival Curves Between More Than Two Populations: Log-Rank Tests8mSeveral Issues to Consider18m

2 practice exercises

Practice Quiz1hHypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing1h

2 hours to complete

Project

During this module, you get the chance to demonstrate what you've learned by putting yourself in the shoes of biostatistical consultant on two different studies, one about asthma medication and the other about self-administration of injectable contraception. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies. If you've already taken the Summarization and Measurement course, then this scenario will be familiar.

2 hours to complete

1 reading

Reviews

4.8

136 reviews

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2 stars
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TOP REVIEWS FROM HYPOTHESIS TESTING IN PUBLIC HEALTH

by ATMar 10, 2023

Beautiful and highly educative course with very applicable steps. However, the correction to all tests done will go a long way to help better understanding. Thanks

by ABApr 5, 2020

Great overview of basic hypothesis testing for means, proportions, and survival curves. Only additional thing that would be nice was a deeper review of the code involved in R.

by VRDec 30, 2020

I was able to review all of the concepts I learned previously in biostatistics. This is an excellent refresher course. Professor McGready is quite articulate and knowledgeable.

by DKJul 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

View all reviews

About the Biostatistics in Public Health Specialization

This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Hypothesis Testing in Public Health

About this Course

What you will learn

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