Resources for TRISEP 2019 Statistics Lectures

Dean Karlen / University of Victoria and TRIUMF

Reference/Lecture notes
Statlets: Java applets for demonstrations and standard statistics calculations
Jupyter lab notebooks: Interactive python notebooks for calculations and plots
- Instructions for setting up jupyter lab on your laptop for these lectures
GoSoapBox: class response system

Resources for each section:
Section	Statlets	Jupyter lab folders	GoSoapBox
Probability theory	Binary output buttons		trisep1
Describing data and distributions	Data in 2D	Data and distributions	trisep1
Special probability distributions	Probability distributions	Special probability distributions	trisep1
Monte Carlo methods	Multiplicative Linear Congruential algorithm	Monte Carlo methods	trisep1
Testing hypotheses	Hypothesis test with a continuous test statistic Kolmogorov CDF	Testing Hypotheses	trisep2
Estimating parameters and maximum likelihood	Fitting 2 parameters	Estimating parameters	trisep3
Method of least squares	Least squares fit		trisep3
Errors and confidence intervals		Errors and confidence intervals	trisep4

Getting a copy of these resources for use after TRISEP

All of the material is free from copyright, and you are welcome to keep a copy. From any unix system you can download all the resources, including this index.html file, with the following command:

wget -r https://particle.phys.uvic.ca/~karlen/trisep2019

By opening the index.html file, the links will point to the local copies of all of the resources.