Lecture

Uncertainty and Significant Figures

In course

Ad in ipsum sint proident exercitation. Ipsum in magna eiusmod cupidatat culpa deserunt sunt cupidatat velit. Enim anim id dolor cillum mollit velit Lorem proident eu esse cupidatat. Veniam est consectetur esse pariatur enim incididunt dolor dolor.

Description

This lecture covers an overview of confidence intervals, margin of error, effective coverage, pivots, and significant figures. It explains how to determine uncertainty, precision, and the number of significant figures from a confidence interval. The slides discuss the construction of confidence intervals, the Wilson score confidence interval for the maximum likelihood estimator, and the importance of reporting numbers at an appropriate precision level.

Instructor

ullamco excepteur magna

Tempor veniam eiusmod ex anim. Elit sunt reprehenderit pariatur mollit in ea et duis et consequat aute enim. In enim nulla culpa enim. Laborum anim laborum cupidatat sit officia anim elit Lorem irure deserunt quis.

Official source

https://mediaspace.epfl.ch/media/0_csgrzeg9

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.

Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Related lectures (32)

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.