Applied Statistics - Week 2

The following is a description of what we will go through during this week of the course. The chapter references and computer exercises are considered read, understood, and solved by the beginning of the following class, where I'll shortly go through the exercise solution.

General notes, links, and comments:

Louis Lyons discussing discovery levels:: 1310.1284v1_LouisLyons_Why5sigma.pdf

Programming intro v2: ReadingAsciiFile.py and datafile.txt


Monday:
We will be working on the experiments for Project 1 in First Lab.


Tuesday:
Even in a complex world, a few PDFs play a central role again and again. We will go through these natural PDFs, in particular the Binomial, Poisson, and Gaussian distributions and see how they are connected. Other PDFs will also be discussed.

Reading:

Barlow, chapter 3
Lecture(s):

Binomial, Poisson, and Gaussian
Computer Exercise(s):

Binomial, Poisson and Gaussian: BinomialPoissonGaussian.py


Friday:
Real data almost never follows theoretical PDFs, as the real world contains dirty wires, unknown biases, and mismeasurements. We will devote the day to discussion of real data analysis and systematic errors, and apply this to our "Table Measurements" from Aud. A.
PS. We will have company from external evaluation and review!

Reading:

Barlow, chapter 4.4
Lecture(s):

Systematic Errors
Computer Exercise(s):

TableMeasurements: TableMeasurement.py,
data_TableMeasurements2009.txt
data_TableMeasurements2010.txt
data_TableMeasurements2011.txt
data_TableMeasurements2012.txt
data_TableMeasurements2013.txt
data_TableMeasurements2014.txt
data_TableMeasurements2015.txt
Example solution can be found here: TableMeasurement2015_solution.py
Discussion of solution can be found here: AS2015_TableMeasurementResults.pdf
The result of your table measurement analysis should be submitted HERE by Friday the 4th at the latest.

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Last updated: 26th of November 2015.