Monthly Subscription Starting at AED 99 + VAT

Hypothesis Testing in Public Health
  • Level Foundation
  • Duration 19 hours
  • Course by Johns Hopkins University
  • Offered by

About

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.

Modules

Sampling Distributions and Standard Errors

    • 6 Videos
Show info about module content

6 Videos

  • 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 Assessment

    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Practice Quiz

1 Readings

  • Formative Quiz 1 Solutions

Summative Assessment

    • 1 Assignment
Show info about module content

1 Assignment

  • Sampling Distributions and Standard Errors

Confidence Intervals for Single Population Parameters

    • 6 Videos
Show info about module content

6 Videos

  • 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 Assessment

    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Practice Quiz: Confidence Intervals for Single Population Parameters

1 Readings

  • Formative Quiz 2 Solutions

Summative Assessment

    • 1 Assignment
Show info about module content

1 Assignment

  • Quiz: Confidence Intervals for Single Population Parameters

Confidence Intervals for Population Comparison Measures

    • 8 Videos
Show info about module content

8 Videos

  • 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

Formative Assessment

    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Practice Quiz: Confidence Intervals for Population Comparison Measures

1 Readings

  • Solutions, Formative Assessment

Summative Assessment

    • 1 Assignment
Show info about module content

1 Assignment

  • Confidence Intervals for Population Comparison Measures

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

    • 6 Videos
Show info about module content

6 Videos

  • 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

Formative Assessment

    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

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

1 Readings

  • Solutions, Formative Asessment

Summative Assessment

    • 1 Assignment
Show info about module content

1 Assignment

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

Hypothesis Testing: Comparing Proportions and Incidence Rates Between Two Populations

    • 6 Videos
Show info about module content

6 Videos

  • 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

Extending Hypothesis Testing for Comparing More than Two Groups in One Test

    • 5 Videos
Show info about module content

5 Videos

  • 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

Formative Assessment

    • 1 Assignment
Show info about module content

1 Assignment

  • Practice Quiz

Summative Assessment

    • 1 Assignment
Show info about module content

1 Assignment

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

Biostatistical Consulting Project (1 attempt per day allowed)

    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Course Project Quiz

1 Readings

  • Biostatistical Consulting Project

Auto Summary

Discover the crucial role of biostatistics in public health with the "Hypothesis Testing in Public Health" course. This foundational course, part of the Biostatistics in Public Health Specialization, focuses on equipping public health researchers with the skills to draw meaningful conclusions from data. You will delve into sample variability and statistical hypothesis testing, learning to perform calculations and interpret real-world scientific data. Key topics include sample statistics, the central limit theorem, confidence intervals, hypothesis testing, and p values. Offered by Coursera, this comprehensive course spans approximately 1140 minutes and is available through Starter and Professional subscription plans. Ideal for those at the foundational level, this course is perfect for aspiring public health professionals seeking to enhance their biostatistical expertise.

John McGready, PhD, MS
Instructor

John McGready, PhD, MS