|| PH24010 |
|| DATA HANDLING AND STATISTICS |
|| 2003/2004 |
|| Professor Geraint Vaughan |
|| Semester 1 |
|| Dr Sian A Jones |
|| Core Physics Modules at Level 1 |
| Course delivery
|| Lecture || 8 lectures (first half of semester) |
|| Practical || 36 Hours Laboratory. 12 laboratory sessions (3 hours each) |
|Assessment Type||Assessment Length/Details||Proportion|
|Semester Exam||1.5 Hours End of Semester Examinations ||20%|
|Semester Assessment|| Course Work: MathCad exercises ||10%|
|Semester Assessment|| Course Work: Young's Modulus experiment ||30%|
|Semester Assessment|| Course Work: Photometry experiment ||30%|
|Semester Assessment|| Course Work: Theory exercises ||10%|
After taking this module student should be able to:
explain the nature of random error in experimental data
use the Gaussian distribution and apprectiate why it applies in so many cases
calculate the mean and standard deviation of data following a simple, unbiased Gaussian
recognise the effect of inter-dependence of measurements and extreme values on data sets
combine several different errors to derive a final error
identify the most important source of error in an experiment and concentrate on reducing that error
fit a straight line to experimental data and evaluate the standard error in the slope and intercept.
write a simple MathCad program to model a physical system.
This module is a laboratory-based course where the handling of data in selected experiments is treated in parallel with a course on the theory of measurement, the nature of experimental errors, random and systematic. The course provides an introduction to the basic statistics encountered in Physics, including the Binomial, Poisson and Normal distributions, and simple least-squares regression. The estimate of standard error, the combination of errors and the optimum design of experiments to reduce the final error in the most efficient way are covered. Applications of these concepts will be made through practical work and computational work using MathCad.
Use of Mathcad for statistical problems.
Theory of measurement
Random and systematic errors
Accuracy and precision
Mean and standard deviation
Gaussian, Poisson and Binomial distribtions
The Least Squares Principle, graphing data and fitting a straight line to data.
1. Photometry experiment. Determine the temperature of an incandescent filament by optical measurements.
2. Young's Modulus experiment.
Determination of Young's Modulus, with special care taken to estimate the random uncertainty
in the final result. Identification of the parameter contributing most to the final error.
Use of STOMP CAL package.
Simple modelling using MathCad.
** Recommended Text
Roger Barlow Statistics
Wiley ISBN 0-471-92295-1
** Reference Text
R. Larsen Introduction to Mathcad 2000
Prentice Hall ISBN 0-13-020007-7
P.M. Morse Vibration and Sound
This module is at CQFW Level 5