Introduction to Statistics and Experimental Design & Hypothesis Testing
Why do we perform experiments? What conclusions would we like to be able to draw from these experiments? Who are we trying to convince? How does the “magic” of statistics help us reach conclusions?
This workshop, held in three sessions, will in part attempt to answer the above questions. It is open to anyone interested in learning more about the basics of statistics, experimental design, and the fundamentals of hypothesis testing. The first session will lay out the foundational concepts in statistical hypothesis testing, the second one will concentrate on the practical implementation of some basic hypothesis tests and on performing statistical power analyses in R while the last one will elaborate of principles underlying experimental design.
No background in statistics is required.
This is an introductory workshop in the Biostats series . No prior experience required. No prerequisites.
- Presentation: We will go over these slides during this workshop.
- Tutorial: Longer text version of what I want to convey to you. This also has some examples that we will go over.
- Summary: Shorter text version of the main messages of this workshop.
You will find the materials including a presentation, a write-up and a summary of what I will be talking about at this link. I am going to assign you homework before the session tomorrow: Be ready share the answers to the following four questions with the rest of us!
- What is a (or the) scientific question that you are currently working on?
- What kind of experiment would you (or are you) perform(ing) to answer this question?
- What are the conclusions you would like to draw from the results of this kind of experiment?
- What factors will-you-consider (or have-you-considered) when you-decide (or decided) to perform this experiment?
You can access these materials remotely at any time and go through them at your own pace. Here's how: