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Hypothesis Testing in Public Health 

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  • Public/Government Institute

Hypothesis Testing in Public Health
 at 
Coursera 
Overview

Duration

19 hours

Total fee

Free

Mode of learning

Online

Difficulty level

Beginner

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Hypothesis Testing in Public Health
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum

Hypothesis Testing in Public Health
 at 
Coursera 
Highlights

  • 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
  • Flexible deadlines Reset deadlines in accordance to your schedule.
  • 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 Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Read more
Details Icon

Hypothesis Testing in Public Health
 at 
Coursera 
Course details

More about 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.

Hypothesis Testing in Public Health
 at 
Coursera 
Curriculum

Sampling Distributions and Standard Errors

Introduction

Sampling Distribution Definition

Examples: Sampling Distribution for a Single Mean

Examples: Sampling Distribution for a Single Proportion, Incidence Rate

Estimating Sampling Distribution Characteristics from Single Samples of Data

Additional Examples

Formative Quiz 1 Solutions

Practice Quiz

Sampling Distributions and Standard Errors

Confidence Intervals for Single Population Parameters

Introduction

Confidence Intervals for Single Population Parameters

Confidence Intervals for Population Proportions and Incidence Rates

So What Is a Confidence Interval, and How Should It Be Interpreted?

A Note on Confidence Intervals for Population Quantities Based on Small Samples

Additional Examples

Formative Quiz 2 Solutions

Practice Quiz: Confidence Intervals for Single Population Parameters

Quiz: Confidence Intervals for Single Population Parameters

Introduction

Confidence Intervals for Population Comparison Measures

Confidence Intervals for Comparing Means of Continuous Outcomes Between Two Populations

Confidence Intervals for Binary Comparisons: Part 1, Difference in Proportions

Confidence Intervals for Binary Comparisons: Part 2, Ratio of Proportions and Odds Ratios

Confidence Intervals for Incidence Rate Ratios

A Brief Note About Ratios (Again)

Additional Examples

Solutions, Formative Assessment

Practice Quiz: Confidence Intervals for Population Comparison Measures

Confidence Intervals for Population Comparison Measures

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

Introduction

Hypothesis Testing: The General Concept, and for Comparing Means Between Two Populations

(Hypothesis Testing) Comparing Means Between Two Populations: The Paired Approach

(Hypothesis Testing) Comparing Means Between Two Populations: The Unpaired Approach

Debriefing on the p-Value, Part 1

Additional Examples

Solutions, Formative Asessment

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

Two-Group Hypothesis Testing: The General Concept and Comparing Means, and Earlier Course Material

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

Introduction

(Hypothesis Testing) Comparing Proportions Between Two Populations: The ?z-Test? Approach

(Hypothesis Testing) Comparing Proportions Between Two Populations: Chi-Square and Fisher?s Exact Test Approaches

Hypothesis Tests for Comparing Incidence Rates Between Two Populations

Debriefing on the p-Value and Hypothesis Testing, Part 2

Additional Examples

Introduction

(Hypothesis Testing) Comparing Means Between More Than Two Populations: Analysis of Variance (ANOVA)

(Hypothesis Testing) Comparing Proportions Between More Than Two Populations: Chi-Square Tests

Hypothesis Testing) Comparing Survival Curves Between More Than Two Populations: Log-Rank Tests

Several Issues to Consider

Practice Quiz

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

Biostatistical Consulting Project

Course Project Quiz

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Hypothesis Testing in Public Health
 at 
Coursera 

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