Applied Statistics - Week 1
The following chapters (including exercises in the book!) and computer
exercises are considered read, understood, and solved by the end of
the week.
Lectures:
Why Statistics?,
Central Limit Theorem,
Mean and Width.
Significant Digits,
Correlations.
Error propagation.
Binomial, Poisson and Gaussian distributions.
Reading:
Chapter 1: Introduction.
Chapter 2: Mean, width, and correlation (see also Cowan 1.5-1.6).
Chapter 3: Probability Density Functions (PDFs).
Chapter 4: Error propagation.
Introduction to Python and ROOT:
Introduction to Python:
pythonIntro.py
Introduction to ROOT:
RootIntro.py
Computer exercises:
CentralLimitTheorem:
CentralLimit.py
Anscombe's Quartet:
AnscombesQuartet.py (just for fun!)
ErrorPropagation:
ErrorPropagation.py,
TableMeasurements:
TableMeasurements.py,
data_TableMeasurements2009.txt
data_TableMeasurements2010.txt
data_TableMeasurements2011.txt
data_TableMeasurements2012.txt
data_TableMeasurements2013.txt
Submit your best estimates HERE!
Example solution can be found here: TableMeasurements_solution.py
Comments:
Shell commands:
shell_commands.pdf
Python and ROOT intro macro:
CalcPrimeNumbers.py
Last updated: 3rd of September 2013.