Data Analysis and Uncertainty Estimation

Assignments

Week 1 - Normal distributions (Jupyter notebook) (pdf)

Week 2 - Summing random variables (Jupyter notebook) (pdf)

Week 3 - Multiplying and dividing random variables (Jupyter notebook) (pdf)

Week 4 - Least squares fit of data to a line (Jupyter notebook)(pdf)

For further details on linear regression including a specific application, see files prepared by Dr. Richard Krantz that are attached to the photoelectric effect experiment.

References

Bevan, A. (2013), Statistical Data Analysis For the Physical Sciences (Cambridge Univ. Press).

Bevington, P. R. and D. K. Robinson (2015), Data Reduction and Error Analysis For the Physical Sciences, 3rd ed. (McGraw-Hill).

Lyons, L. (1991), A Practical Guide to Data Analysis For Physical Science Students (Cambridge).

McKinney, W. (2013), Python For Data Analysis: Data Wrangling with Pandas, Numpy and Ipython (O'Reilly).

Robinson, E. L. (2016), Data Analysis For Scientists and Engineers (Princeton Univ. Press).

Roe, B. P. (2001), Probability and Statistics in Experimental Physics, 2nd ed. (Springer).

Taylor, J. R. (1996), An Introduction to Error Analysis, 2nd ed. (University Science Books).