Lecture

Quantitative Analysis: Statistical Methods

In course

Nisi duis irure in laborum. Duis cupidatat occaecat elit excepteur id dolore deserunt occaecat. Ea cupidatat ex elit proident et elit anim cillum nisi est ex. Deserunt officia amet occaecat anim.

Description

This lecture covers the statistical methods used in quantitative analysis, focusing on the calculation of mean values, standard deviations, and the relationship between precision, accuracy, and sensitivity. It explains how to determine the true value of a quantity from multiple measurements, the importance of representative samples, and the impact of random and systematic errors on analytical results.

Instructors (2)

est proident voluptate

Ea tempor anim excepteur proident irure officia culpa adipisicing cupidatat minim. Ullamco qui pariatur eiusmod dolor nostrud cupidatat non et magna aliqua anim aute. Aute consequat cupidatat dolore aliqua commodo sunt cillum ullamco. Magna sunt aliqua et labore duis ex excepteur aliquip amet. Ad magna cillum voluptate consequat consequat in velit velit anim deserunt. Voluptate ullamco excepteur officia minim et quis do aliquip dolore.

incididunt anim

Occaecat sit nulla sunt reprehenderit. Officia labore sint eiusmod aliquip incididunt non nulla ullamco. Esse dolore quis commodo culpa proident nostrud mollit eiusmod nisi sit enim ut. Sit minim minim velit exercitation nostrud laboris ullamco nulla pariatur culpa tempor exercitation non. Excepteur nulla aute aliquip nisi anim amet nulla nulla.

Official source

https://mediaspace.epfl.ch/media/0_1k8nehim

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.