# Practical Statistics for Particle Physics Analyses: Chi-Squared and Goodness of Fit (2/4)

- Institution: CERN
- Department: Academic Training Lecture Regular Programme,2016-2017
- Taught by: Louis Lyons, Lorenzo Moneta
- Year: 2016
- Level: Graduate
- Language: English
- Subjects: Mathematics, Physics
- Source: [CERN](https://videos.cern.ch/record/3003786)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

This will be a 4-day series of 2-hour sessions as part of CERN's Academic Training Course. Each session will consist of a 1-hour lecture followed by one hour of practical computing, which will have exercises based on that day's lecture. While it is possible to follow just the lectures or just the computing exercises, we highly recommend that, because of the way this course is designed, participants come to both parts.

In order to follow the hands-on exercises sessions, students need to bring their own laptops. The exercises will be run on a dedicated CERN Web notebook service, SWAN (swan.cern.ch), which is open to everybody holding a CERN computing account. The requirement to use the SWAN service is to have a CERN account and to have also access to Cernbox, the shared storage service at CERN. New users of cernbox are invited to activate beforehand cernbox by simply connecting to https://cernbox.cern.ch. A basic prior knowledge of ROOT and C++ is also recommended for participation in the practical session.

Day 2: Chi-squared and Goodness of Fit The chi-squared method can be used not only for estimating parameters and their correlations, but also for providing aa measure for Goodness of Fit.Examples are given where the number of degrees of freedeom is not what we might expect. Other Goodness of Fit techniques are discussed, that work with fewer observations than are required by the chi-squared method..

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## Lectures

1. [Practical Statistics for Particle Physics Analyses: Chi-Squared and Goodness of Fit (2/4)](https://invisiblenetwork.ai/learn/cern/3003786/f6e1f3e6649e), 2 h 4 min (CERN's player)