Hypothesis Testing in Public Health
Master statistical hypothesis testing for public health research. Learn confidence intervals, p-values, and sampling distributions.
Master statistical hypothesis testing for public health research. Learn confidence intervals, p-values, and sampling distributions.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Biostatistics in Public Health Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Analyze and interpret sampling distributions effectively
Calculate and interpret confidence intervals for single samples
Perform statistical hypothesis testing with accuracy
Evaluate p-values in research contexts
Apply statistical methods to public health research
Skills you'll gain
This course includes:
8.2 Hours PreRecorded video
11 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This comprehensive course focuses on statistical methods essential for public health research. Students learn fundamental concepts of sampling distributions, confidence intervals, and hypothesis testing. The curriculum covers estimation techniques, p-value interpretation, and practical applications in public health research. Through hands-on exercises and real-world examples, learners develop skills in statistical analysis and interpretation of research data.
Sampling Distributions and Standard Errors
Module 1 · 3 Hours to complete
Confidence Intervals for Single Population Parameters
Module 2 · 3 Hours to complete
Confidence Intervals for Population Comparison Measures
Module 3 · 4 Hours to complete
Two-Group Hypothesis Testing: The General Concept and Comparing Means
Module 4 · 2 Hours to complete
Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing
Module 5 · 4 Hours to complete
Project
Module 6 · 1 Hours to complete
Fee Structure
Instructor
Associate Scientist and Biostatistics Educator at Johns Hopkins University
Dr. John McGready is an Associate Scientist in Biostatistics at Johns Hopkins University, where he has made significant contributions to both research and education since joining the faculty. He serves as the primary instructor for "Statistical Reasoning in Public Health I and II," teaching both on-campus and online courses, as well as "Statistical Methods in Public Health III." Dr. McGready is also the co-creator of intensive data analysis workshops at the School's Summer Institute of Epidemiology and Biostatistics. His research interests encompass statistical education, small sample properties of estimation methods, and advanced semi-parametric techniques applied to anthropomorphic data, among others.Recognized for his excellence in teaching, Dr. McGready has received multiple Golden Apple Awards and other accolades for his contributions to education in public health. Before his tenure at Johns Hopkins, he worked as a quantitative policy analyst focusing on criminal justice policy and taught high school mathematics. His diverse background enriches his approach to biostatistics and public health education, making him a valuable asset to the academic community.
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4.8 course rating
612 ratings
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