Module Details

The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title STATISTICS FOR PHYSICS ANALYSIS
Code PHYS392
Coordinator Dr DE Hutchcroft
Physics
Dhcroft@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2021-22 Level 6 FHEQ First Semester 15

Aims

To give a theoretical and practical understanding of the statistical principles involved in the analysis and interpretation of data. To give practice in analysing data by computer program. To show how to write code to solve problems in data analysis.


Learning Outcomes

(LO1) Knowledge of experimental errors and probability distributions

(LO2) The ability to use statistical methods in data analysis

(LO3) The ability to apply statistical analysis to data from a range of sources

(LO4) Using statistical information to determine the validity of a hypothesis or experimental measurement

(LO5) The ability to write code to analyse data sets

(S1) Problem solving skills

(S2) Numeracy

(S3) Digital scholarship participating in emerging academic, professional and research practices that depend on digital systems

(S4) IT skills


Syllabus

 

The course will cover: Understanding how to summarise data in a few numbers and relations between variables: Mean, variance and covariance Probability theory and how to combine probabilities : Set theory and Bayes’ Theorem Probability density functions Specific probability distributions: Binomial, Poisson and Gaussian Errors and estimators: Statistical and systematic errors and the Central Limit Theorem Corrections to estimators and qualities of good estimators Fitting a distribution to data: Likelihood functions and the principle of maximum likelihood Least square fitting methods Confidence levels Hypothesis testing


Teaching and Learning Strategies

Teaching Method 1 - Lecture
Description: Lectures delivered online
Attendance Recorded: Yes

Teaching Method 2 - Computing Classes
Description: Workshops to help the students solve the worksheets by computer
Attendance Recorded: Yes


Teaching Schedule

  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 12

        36

48
Timetable (if known)              
Private Study 102
TOTAL HOURS 150

Assessment

EXAM Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
open book Examination completed online There is a resit opportunity. This is not an anonymous assessment. Assessment Schedule: Semester 1  90 minutes.    50       
CONTINUOUS Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
open book coursework There is a resit opportunity. Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule: Semester 1  3 workshops of 1 wee    50       

Recommended Texts

Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.