This module aims to convey the understanding and experience in the use of statistical methods in physics necessary for unbiased evaluation of data (either experimental or theoretical). The module introduces advanced methods in data analysis, which includes areas of Maximum Likelihood, fitting methods, and confidence regions.
Module learning outcomes
At the end of this module successful students will be able to:
Describe the basic statistics involved in the analysis of physical data.
Demonstrate an understanding of the principles underlying data analysis.
Define the appropriate statistic for use in concrete fitting of data, including X ² and maximum likelihood methods.
Perform data fitting and evaluate the fit results, including error matrices, confidence limits and goodness-of-fit.
Demonstrate the use of maximum likelihood methods.
Evaluate confidence intervals or confidence regions in data analysis in general.
% of module mark
Essay/coursework Physics Practice Questions
Open Examination (1 day) Statistical Methods in Experimental Physics - Coursework
Special assessment rules
% of module mark
Open Examination (1 day) Statistical Methods in Experimental Physics - Open book re-assessment
Information currently unavailable
R. J. Barlow. Statistics: A guide to the use of statistical methods in the physical sciences. John Wiley & Sons, Inc., 1989.
Coronavirus (COVID-19): changes to courses
The 2020/21 academic year will start in September. We aim to deliver as much face-to-face teaching as we can, supported by high quality online alternatives where we must.
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