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Coursera Hypothesis Testing in Public Health

Johns Hopkins University via Coursera

  • Overview
  1. Coursera
    Platform:
    Coursera
    Provider:
    Johns Hopkins University
    Length:
    4 weeks
    Effort:
    3-4 hours a week
    Language:
    English
    Credentials:
    Paid Certificate Available
    Part of:
    Biostatistics in Public Health Specialization
    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

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