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
Java Class Library is the fourth and final course in the Core Java Specialization. The Core Java Specialization is part of a series of programming specializations, derived from LearnQuest\'s... more
How can companies act in the fight against global warming? This is an increasingly pressing question for all actors of our society. Big companies, SMEs, start-ups but also charities and public... more
Thousands of new epidemiological studies are conducted every year and their results can have a profound impact on how we live our lives. Decisions regarding the food you eat, how much you exercise,... more
Analyse the role of data, volume, quality, and timeliness, in decision making and critically evaluate, with particular reference to digital data, traditional leadership models In this course, you... more
In this 2-hour project-based course, you will learn the basics of building persuasive sales presentations using PowerPoint and Copilot AI. We will do this by creating a methodology-based sales... more
Powered by
