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37 Pages • Complete Study Notes • Year Uploaded: 2021
This course introduces the concepts and methods of statistical inferences: the process of inferring unknowns based on collected data. Students of this course will also learn basic programming skills to conduct statistical analyses in the R environment. This course consists of three main modules. Module 1 introduces elements of probability theory. Module 2 covers the method of statistical inferences. Module 3 introduces two applications of statistical inferences, linear regression and simulation analysis. Each weekly topic will be supplemented with relevant computer applications in the R environment. Module 1: Elements of probability Understand probability Conditional probability and statistical independence Random variables and probability distributions Expectations Module 2: Statistical inferences Sampling and sampling distribution Confidence interval (CI) Null hypothesis statistical testing Module 3: Simulation and Regression analysis Regression analysis and variable coding Conduct simulation analysis in the R environment
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