Methods for Analyzing Small Sample Sizes

This chapter explores effective methodologies for analyzing small sample sizes in experiments, with a focus on Bayesian analysis and the bootstrap method. It highlights the advantages of these approaches in providing accurate variance estimates and invites listeners to engage with the hosts for further guidance and future webinar topics.