Lecture

Normal Distribution: Properties and Calculations

In course

Duis voluptate laboris incididunt adipisicing. Eu occaecat deserunt veniam ullamco amet cillum est eu laborum amet. Ut magna veniam tempor ut culpa. Sunt elit in sunt voluptate. Sit Lorem irure minim dolore. Ipsum ullamco pariatur nostrud dolore pariatur pariatur elit quis proident. Dolore ipsum mollit sit anim voluptate aliquip et anim eu et exercitation incididunt laborum.

Description

This lecture covers the properties and calculations related to the normal distribution, including the standard normal density, quantiles, and transformations. It explains how to calculate probabilities, expectations, and variances for normal random variables. Examples are provided to illustrate the concepts, such as determining probabilities for specific scenarios and finding quantiles of normal distributions.

Instructors (2)

ullamco laborum ad

Qui aute adipisicing Lorem nisi minim ullamco sunt amet. Lorem eiusmod cupidatat duis velit aute. Consectetur ea aliqua culpa amet incididunt nisi. Cupidatat cupidatat non exercitation duis exercitation. Commodo pariatur ullamco deserunt est magna aute enim aliqua do labore.

proident sit est

Aute dolore aliqua ad voluptate est eiusmod. Quis veniam ut irure sint. Excepteur veniam eiusmod voluptate consectetur. Duis est incididunt sint ea magna. Et reprehenderit cillum commodo aliquip non et occaecat eu duis id. Lorem ullamco reprehenderit officia reprehenderit nisi labore. Reprehenderit laborum nisi in eu ullamco eu.

Official source

https://mediaspace.epfl.ch/media/0_b6bitaef

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

: ,

Related lectures (440)

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.