Problem Set

Lecture 1

Lecture 2

Lecture 7

Lecture 5

Lecture 6

Lecture 3

Lecture 4

OVERVIEW


Introduction

Asking the right question


Distributions

Binomial

Poisson

PDFs

Variance and Mean

Central Limit Theorem

Estimators

Correlations

Normal Distributions

Trial Factors

Regression to the Mean



Uncertainties

Error Propagation

Statistical & Systematic Errors



Testing Models

Chi-Squared

“Scientific Method”

P-values

Maximum Likelihood

Bayes’ Theorem



Bias and Experimental Design

Blind Analysis Techniques

Data Correction

Statistical Optimisation

Redundancy

“Statistical Data Analysis” by G. Cowan


“A Guide to the Use of Statistical Methods in the Physical Sciences”

by R. J. Barlow


“Measurements and their Uncertainties: A practical guide to modern error analysis” by I. Hughes and T. Hase


“Data Analysis: A Bayesian Tutorial”

by D. Sivia


“Probability Theory: An Introductory Course” by Ya. G. Sinai


Competition

Winners!

                     READING LIST