Tools for Physicists: Statistics (2/3)

by Peter Weidenkaff, Wolfgang Gradl

Wednesday 29 May 2019, 14:15 → 16:15 Europe/Berlin

Hörsaal (Kernphysik)

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)

notes https://gitlab.rlp.net/weidenka/statistics-notebooks.git https://jupyterhub.zdv.uni-mainz.de/hub/spawn?next=%2Fhub%2Fuser%2Fweidenka%40uni-mainz.de%2Fgit-pull%3Frepo%3Dhttps%253A%252F%252Fgitlab.rlp.net%252Fweidenka%252Fstatistics-notebooks%26urlpath%3Dtree%252Fstatistics-notebooks%252F

Slides TFP-statistics-2.pdf