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 two sessions will lay out the foundational concepts, while the last session will concentrate on the practical implementation of some basic hypothesis tests and on performing statistical power analyses in R.
No background in statistics is required.
This is an introductory workshop in the Biostats series. No prior experience or prerequisites are required. No background in statistics is required.
The Gladstone Data Science Training Program was started in 2018 to provide trainees with learning opportunities and hands-on workshops to improve their skills in bioinformatics and computational analysis. This program offers a series of workshops throughout the year to enable trainees to gain new skills and get support with their questions and data.
Diversity, Equity, and Inclusion
At Gladstone, we are committed to providing events and professional development activities that resonate with our community’s diverse members. Our goal is to develop creative programming that encompasses a wide variety of ideas and perspectives to inspire, educate, and engage with everyone within our walls.
We want to effect positive change through our events and activities by providing a platform for discussions on important topics related to increasing diversity and inclusiveness in the sciences.