Applied Statistics - Week 2
Monday the 27th of November - Friday the 1st of December 2017
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:
Following the experiments, we will have a programming "tutorial"
Tuesday 16-17 on getting the weighted mean and Chi2 (done in small groups).
To follow up on various questions regarding the Chi2 and making
sure that you have a function to do so, I will Tuesday discuss it a
bit more:
Supplement on ChiSquare
As discussed in class, getting the angle of the table (dtheta)
in the experiment will a ball on incline, is not easy, as the
analytic solution is... well, lengthy! But it can be done
nummerically, which also allows for propagation of errors:
GettingDeltaTheta.py
Monday:
We will be working on the experiments for
Project 1 in First Lab.
This project should be handed in (PDF by mail to me) by 22:00 on Thursday the
7th of December 2017.
I would be happy, if you would give the file the logical name
"Project1_GroupX_Name1Name2Name3Name4Name5.pdf", where NameX is the
first name of the group members.
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.
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
data_TableMeasurements2016.txt
data_TableMeasurements2017.txt
The result of your table measurement analysis should be submitted
HERE by Friday the 8th at the latest.
Last updated: 28th of November 2017.