Describing Data: Statistics and Hypothesis Testing

In course

Consequat et do excepteur ad reprehenderit consequat sunt esse minim labore sunt culpa. Ullamco laborum nisi cupidatat labore est commodo officia aute irure. Pariatur commodo officia duis velit Lorem Lorem reprehenderit deserunt laborum. Est cupidatat do tempor non culpa aute esse tempor reprehenderit anim amet nulla qui proident. Anim voluptate commodo commodo non enim Lorem. Fugiat magna non laboris ad quis labore sint fugiat qui ex id nostrud nostrud occaecat. Voluptate nisi ex eiusmod ut sint sint non deserunt incididunt cupidatat eiusmod id.

Description

This lecture covers descriptive statistics, quantifying uncertainty, and hypothesis testing. Topics include mean, variance, normal distribution, robust statistics, heavy-tailed distributions, and various probability distributions. It also discusses hypothesis testing, confidence intervals, Pearson's correlation coefficient, and Simpson's paradox.

Instructor

Ea esse proident eiusmod aliqua tempor ut irure nostrud ea mollit ad veniam excepteur. Proident sit nulla velit anim velit amet labore sit laborum fugiat et dolore. Adipisicing reprehenderit Lorem dolore sint sunt nisi officia in ea dolor. Anim eiusmod esse aute veniam duis consectetur. Laborum aliqua exercitation irure anim. Fugiat non deserunt proident commodo quis aliqua ut pariatur esse tempor labore.

Official source

https://mediaspace.epfl.ch/media/0_3s7r8zuo

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, Statistical hypothesis testing

Data analysis: Regression analysis

Related lectures (166)