This full-day, in-person workshop will provide a practical introduction to carrying out common statistical tests in R. Through a combination of short theoretical refreshers, live demonstrations and hands-on exercises, participants will learn how to choose, run, interpret and report statistical tests using real-world, health-related examples.
We will cover the core principles behind hypothesis testing and give participants the confidence to apply statistical methods to their own datasets. We will explore commonly used tests with an emphasis on understanding when each test is appropriate and how to interpret the output in R.
This workshop is designed for participants who want a focused, supportive learning environment with live instructor guidance. Participants will build confidence not only in running specific statistical tests, but also in applying the same principles to other analyses in their own work.
This course is for you if:
By the end of the workshop, participants will be able to:
The day will include a mixture of short teaching sessions, guided coding demonstrations, practical exercises and opportunities for discussion. Participants should bring a laptop with R and RStudio installed and should have a basic working knowledge of R before attending.
Price: £100
To register please click here: Statistics and Hypothesis Testing in R: A Practical Full-Day Workshop | King’s College London eStore