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Hypothesis Testing in Public Health

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Hypothesis Testing in Public Health

This course is part of Biostatistics in Public Health Specialization

Instructor: John McGready, PhD, MS

22,546 already enrolled

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6 modules

Gain insight into a topic and learn the fundamentals.

659 reviews

Beginner level

Recommended experience

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

95%

Most learners liked this course

6 modules

Gain insight into a topic and learn the fundamentals.

659 reviews

Beginner level

Recommended experience

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

95%

Most learners liked this course

What you'll 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'll gain

Details to know

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Add to your LinkedIn profile

Assessments

11 assignments

Taught in English

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This course is part of the Biostatistics in Public Health Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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Develop job-relevant skills with hands-on projects
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There are 6 modules in this 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.

Module details

Within module one, you will learn about sample statistics, sampling distribution, and the central limit theorem. You will have the opportunity to test your knowledge with a practice quiz and, then, apply what you learned to the graded quiz.

What's included

6 videos1 reading2 assignments

6 videosTotal 74 minutes

Introduction3 minutes
Sampling Distribution Definition9 minutes
Examples: Sampling Distribution for a Single Mean16 minutes
Examples: Sampling Distribution for a Single Proportion, Incidence Rate16 minutes
Estimating Sampling Distribution Characteristics from Single Samples of Data22 minutes
Additional Examples7 minutes

1 readingTotal 10 minutes

Formative Quiz 1 Solutions10 minutes

2 assignmentsTotal 105 minutes

Practice Quiz60 minutes
Sampling Distributions and Standard Errors45 minutes

Module two builds upon previous materials to discuss confidence intervals, the need for ample sizes of data, and ways to get around the need for ample sizes of data. The practice quiz helps you prepare for the graded quiz.

What's included

6 videos1 reading2 assignments

6 videosTotal 70 minutes

Introduction2 minutes
Confidence Intervals for Single Population Parameters15 minutes
Confidence Intervals for Population Proportions and Incidence Rates15 minutes
So What Is a Confidence Interval, and How Should It Be Interpreted?14 minutes
A Note on Confidence Intervals for Population Quantities Based on Small Samples15 minutes
Additional Examples9 minutes

1 readingTotal 10 minutes

Formative Quiz 2 Solutions10 minutes

2 assignmentsTotal 120 minutes

Practice Quiz: Confidence Intervals for Single Population Parameters60 minutes
Quiz: Confidence Intervals for Single Population Parameters60 minutes

Within module three, confidence intervals are discussed at length and ratios are discussed again. Aside from the lectures, you will also be completing a practice quiz and graded quiz.

What's included

8 videos1 reading2 assignments

8 videosTotal 121 minutes

Introduction2 minutes
Confidence Intervals for Population Comparison Measures15 minutes
Confidence Intervals for Comparing Means of Continuous Outcomes Between Two Populations28 minutes
Confidence Intervals for Binary Comparisons: Part 1, Difference in Proportions12 minutes
Confidence Intervals for Binary Comparisons: Part 2, Ratio of Proportions and Odds Ratios24 minutes
Confidence Intervals for Incidence Rate Ratios10 minutes
A Brief Note About Ratios (Again)11 minutes
Additional Examples18 minutes

1 readingTotal 10 minutes

Solutions, Formative Assessment10 minutes

2 assignmentsTotal 120 minutes

Practice Quiz: Confidence Intervals for Population Comparison Measures60 minutes
Confidence Intervals for Population Comparison Measures60 minutes

Within module four, you will look at statistical hypothesis tests, confidence intervals, and p-value. There is a practice quiz to prepare you for the graded quiz.

What's included

6 videos1 reading2 assignments

6 videosTotal 95 minutes

Introduction2 minutes
Hypothesis Testing: The General Concept, and for Comparing Means Between Two Populations18 minutes
(Hypothesis Testing) Comparing Means Between Two Populations: The Paired Approach22 minutes
(Hypothesis Testing) Comparing Means Between Two Populations: The Unpaired Approach21 minutes
Debriefing on the p-Value, Part 120 minutes
Additional Examples13 minutes

1 readingTotal 10 minutes

Solutions, Formative Asessment10 minutes

2 assignmentsTotal 60 minutes

Practice Quiz: Two-Group Hypothesis Testing: The General Concept and Comparing Means0 minutes
Two-Group Hypothesis Testing: The General Concept and Comparing Means, and Earlier Course Material60 minutes

What's included

11 videos2 assignments

11 videosTotal 138 minutes

Introduction2 minutes
(Hypothesis Testing) Comparing Proportions Between Two Populations: The “z-Test” Approach13 minutes
(Hypothesis Testing) Comparing Proportions Between Two Populations: Chi-Square and Fisher’s Exact Test Approaches23 minutes
Hypothesis Tests for Comparing Incidence Rates Between Two Populations21 minutes
Debriefing on the p-Value and Hypothesis Testing, Part 29 minutes
Additional Examples9 minutes
Introduction3 minutes
(Hypothesis Testing) Comparing Means Between More Than Two Populations: Analysis of Variance (ANOVA)19 minutes
(Hypothesis Testing) Comparing Proportions Between More Than Two Populations: Chi-Square Tests14 minutes
Hypothesis Testing) Comparing Survival Curves Between More Than Two Populations: Log-Rank Tests8 minutes
Several Issues to Consider19 minutes

2 assignmentsTotal 120 minutes

Practice Quiz60 minutes
Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing60 minutes

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.

What's included

1 reading1 assignment

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Instructor

Instructor ratings

(180 ratings)

John McGready, PhD, MS

Johns Hopkins University

6 Courses103,714 learners

Offered by

Johns Hopkins University

Learner reviews

5 stars
85.28%
4 stars
12.89%
3 stars
1.21%
2 stars
0.30%
1 star
0.30%

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Reviewed on Jul 9, 2022

Very detailed lectures and mostly all the concepts were cleared by examples which was great for me to conceptualize all the topics in a simple manner. Thank you so much.

Reviewed on 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.

Reviewed on 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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