Hypothesis Testing in Public Health

Coursera Hypothesis Testing in Public Health

Platform
Coursera
Provider
Johns Hopkins University
Effort
3-4 hours a week
Length
4 weeks
Language
English
Credentials
Paid Certificate Available
Part of
Course Link
Overview
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.

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

Syllabus
  1. Sampling Distributions and Standard Errors
  2. Confidence Intervals for Single Population Parameters
  3. Confidence Intervals for Population Comparison Measures
  4. Two-Group Hypothesis Testing: The General Concept and Comparing Means
  5. Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing
  6. Project

Taught by
John McGready, PhD, MS
Author
Coursera
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