

Hypothesis Testing in Public Health
- Offered byCoursera
- 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 |
Credential | Certificate |
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
Hypothesis Testing in Public Health at Coursera Course details
- 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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