# Statistics for the LHC: Quantifying our Scientific Narrative (1/4)

- Institution: CERN
- Department: Academic Training Lecture Regular Programme,2010-2011
- Speaker: Kyle Cranmer
- Year: 2011
- Level: Graduate
- Language: English
- Subjects: Mathematics
- Source: [CERN](https://videos.cern.ch/record/3000932)
- 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)

Now that the LHC physics program is well under way and results have begun to pour out of the experiments, the statistical methodology used for these results is a hot topic. This is a challenge at the LHC, as we have sensitivity to discover new physics in a stage of the experiments where systematic uncertainties can still be quite large. The emphasis of these lectures is how we can translate the scientific narrative of why we think we know what we know into quantitative statistical statements about the presence or absence of new physics. Topics will include statistical modeling, incorporation of control samples to constrain systematics, and Bayesian and Frequentist statistical tests that are capable of answering these questions..

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## Lectures

1. [Statistics for the LHC: Quantifying our Scientific Narrative (1/4)](https://invisiblenetwork.ai/learn/cern/3000932/9a9b39e4f385), 1 h 11 min (CERN's player)