Inferential Statistics
About this Course
This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical dataCreated by: Duke University
Related Online Courses
In the Digital Forensics Concepts course, you will learn about legal considerations applicable to computer forensics and how to identify, collect and preserve digital evidence. This course dives... more
Whether you\'re writing paychecks or wondering where yours comes from, this course is for you! We begin by asking: \"To succeed, what kind of a person does your organization need to attract,... more
The Final Project will be a hands-on, comprehensive project that practitioners of virtual education can implement in their profession. For this final project, learners will draft a design plan for... more
This course offers an introduction to social impact strategy and social entrepreneurship, including key concepts, an overview of the field, and tools to get started as a changemaker. Students will... more
Welcome to this Big History course! In this course, renowned scientists and scholars from the University of Amsterdam and beyond will take you on a journey from the Big Bang until today while... more
Powered by
