Presenter: Alexander Y. Mitrophanov, PhD, Senior Statistician, ABCS/FNLCR

In this lecture, we will introduce ANOVA as a generalization of the t-test and explain its main purpose: to facilitate statistical hypothesis testing for several groups of observations. We will briefly review the concept of statistical hypothesis testing, discuss some common types of ANOVA analysis, and explain the statistical assumptions behind ANOVA. We will then discuss nonparametric analogs of ANOVA and what to do when the information provided by ANOVA is insufficient for the investigator’s research purposes. Familiarity with statistics at the beginner (or preferably intermediate) level is recommended.

This will be a hybrid event. To register, please visit the following link: Register Here

This session will be recorded, and materials will be shared with attendees a few days after the event.

For additional details and questions, please contact Natasha Pacheco (natasha.pacheco@nih.gov), Advanced Biomedical Computational Science group, Frederick National Laboratory for Cancer Research.