Lecture
Statistical Inference: Concepts and Applications
Description
This lecture introduces the fundamental concepts of statistical inference, focusing on the connection between data and probabilities, the statistical models, and the process of drawing conclusions from data. It covers the steps of statistical approach, from formulating research questions to interpreting results, emphasizing the importance of planning experiments and analyzing data. The lecture also discusses the types of variables, including quantitative and qualitative variables, and their significance in statistical analysis. Additionally, it explores the phases of data analysis, starting with exploratory analysis to understand data structures and moving towards statistical inference to draw conclusions using probabilistic methods.
Instructors (2)
nisi Lorem ex
Culpa eiusmod eu occaecat incididunt magna ea Lorem officia qui magna ex ut veniam. Deserunt qui eu non nulla elit ullamco non eiusmod tempor. Esse velit anim ad dolor est esse.
velit esse
Non voluptate qui aute et sunt culpa enim do sunt in pariatur id. Incididunt excepteur voluptate reprehenderit nulla in qui mollit laborum nisi cupidatat. Sunt est voluptate id aute. Occaecat sunt commodo minim amet occaecat elit mollit irure elit. Ad nulla velit adipisicing minim excepteur sit nostrud officia minim veniam elit commodo.
Official source
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.