Statistics and Hypothesis Testing in R: A Practical Full-Day WorkshopInfo Location Contact More Info Event Information
Description13th April 2027 (10:00 - 17:00) 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. Please click on the "More Info" tab for further information.
Event Location
ContactMore InformationThis course is for you if: - You need to apply statistical tests to datasets in your current or future role - You have some basic experience using R and RStudio - You have a basic understanding of statistics but would like more confidence applying tests in practice - You work in a health-related, biomedical, clinical, administrative or academic setting - You learn best through hands-on practice with opportunities to ask questions in real time By the end of the workshop, participants will be able to: - Understand the basic logic of hypothesis testing in R - Choose appropriate statistical tests for different types of data and research questions - Run common statistical tests using R - Interpret statistical output and understand what the results mean - Recognise when assumptions need to be checked before applying a test - Apply the same general workflow to statistical tests not covered directly in the workshop 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. | |||||||||||||||
