Lecture

Understanding Statistics & Experimental Design

Description

This lecture covers various types of t-tests, including independent samples t-test, one sample t-test, and repeated measures t-test. It also delves into confidence intervals, null hypothesis significance testing, and the importance of avoiding false discoveries in statistical analysis. The instructor explains the logic behind ANOVA, the distribution of F under the null hypothesis, and the strategy for distinguishing between null and alternative hypotheses. Additionally, the lecture discusses the advantages of nonparametric tests, multiple testing, and the pitfalls of Bonferroni correction. Practical examples and worked exercises are provided to illustrate key concepts.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.