Significant Figures, Error Estimation, Notation

In course

Consequat consectetur incididunt culpa eiusmod sint quis veniam adipisicing laboris dolor sunt cillum in occaecat. Laborum nulla dolor enim ea proident labore. Proident aliquip eiusmod irure cillum ipsum id labore. Est sit nostrud occaecat culpa ea consectetur officia eu cillum magna do. Aliquip nulla cupidatat laboris quis ut quis non culpa sit irure. Duis Lorem nulla elit nostrud pariatur qui laborum excepteur reprehenderit aliqua non id voluptate. Proident pariatur in enim irure.

Description

This lecture covers the concept of significant figures to quantify measurement uncertainty, rules for working with significant figures, the notation for derivatives in single and multi-variable functions, and error estimation using standard deviation and standard error.

Instructor

commodo ad

Quis cillum duis esse laboris labore nostrud quis dolore officia. Eiusmod do ipsum tempor elit adipisicing culpa. Non sint cupidatat ut dolore laboris velit dolore elit enim ullamco irure ex consequat sint.

Official source

https://mediaspace.epfl.ch/media/0_smtc06kv

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

Mathematics

Analysis: Calculus

Related lectures (35)