Name: Tools for Physicists: Statistics (2/3)
Start: 2019-05-29T14:15:00+02:00
End: 2019-05-29T16:15:00+02:00
Location: Kernphysik

Description

This lecture intended as a guide to practical application of statistics with a focus on relevant topics in analysis of high energy physics data. Each session consists of a classical lecture part followed by a hands-on training using python. Experience in programming is advantageous but not mandatorily required.

Lecture 1: Statistical Distributions

Lecture 2: Confidence intervals, Hypothesis testing

Lecture 3: Parameter estimation

Unterrichtssprache / Language: Englisch / English
Foliensprache / Language Slides: Englisch / English
Registration mandatory, see below.

Tools for Physicists / Werkzeuge für Physiker 2019

This lecture is part of a larger series covering various real-lab topics:

(DE/DE) Technisches Zeichnen by Erhard Jung
(EN/EN) Introduction to Comsol by COMSOL
(EN/EN) Boost you Analysis with High Performance Computing by Peter-Bernd Otte
(EN/EN) 3D Printing and Designing by David Rodriguez Piñeiro
(EN/EN) Introduction to GIT and CI with Gitlab by Peter Weidenkaff
(EN/EN) Statistics by Wolfgang Gradl and Peter Weidenkaff
(EN/EN) Mathematica by Michael Distler
(DE/EN) Mikrocontroller by Igor Beltschikow
(EN/EN) Simulating Electronics with Spice by Werner Lauth
(EN/EN) EMC, Grounding, Noise, Impedance by Werner Lauth
(DE/EN) Einführung in Eagle (Schaltungslayout) by Oliver Corell

Hint: (Teaching language / slides language)

From the same series

1 3

Tools for Physicists: Statistics (2/3)

by Peter Weidenkaff, Wolfgang Gradl

Hörsaal

Kernphysik

Tools for Physicists / Werkzeuge für Physiker 2019