Hypothesis Testing in Public Health

Delve into the world of sampling distributions and standard errors. Gain a comprehensive understanding of sample statistics, the central limit theorem, and the estimation of sampling distribution characteristics. Develop your skills through examples and formative quizzes, and practice applying your knowledge with a practice quiz.

Explore confidence intervals for single population parameters. Learn to estimate and interpret 95% confidence intervals for single samples and population proportions. Understand the interpretation of confidence intervals for population quantities and their implications for small sample sizes. Test your understanding with quizzes and practice applying your knowledge.

Master confidence intervals for population comparison measures. Gain expertise in estimating and interpreting confidence intervals for comparing means of continuous outcomes between two populations, as well as for binary comparisons and incidence rate ratios. Solidify your knowledge with examples, formative assessments, and quizzes.

Dive into the concept of hypothesis testing and comparing means between two populations. Understand the paired and unpaired approaches for comparing means and gain insights into the interpretation of p values. Apply your knowledge by participating in quizzes and reviewing earlier course material.

Explore hypothesis testing for comparing proportions and incidence rates between two populations, along with an extended hypothesis testing section covering comparisons between more than two populations. Gain proficiency in various testing approaches and learn to evaluate survival curves. Test your understanding with practical quizzes.

Conclude the course with a project where you can apply your acquired knowledge and skills to real-world scenarios, solidifying your understanding of statistical methods in public health research.