Applied Statistics - Week 1

The following chapters 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.


    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.

    Computer exercises:
  • Anscombe's Quartet: AnscombesQuartet.py (just for illustration!)
  • Central Limit Theorem: CentralLimit.py
  • Error Propagation: ErrorPropagation.py,
        Error Propagation solution notes: Note_ErrorPropagationSolution.pdf,
        Error Propagation solution example: ErrorPropagation_Solution.py,


    Python/ROOT coding introduction and example:
    Tuesday I will show and go through two simple examples of how to start a Python/ROOT program (reading a datafile and making a nice figure). The examples can be found here:
    ReadingAsciiFile.py and randomnumbers.dat.
    NiceFigure.py.

    Notes, links, and comments:
  • Introduction to Python: pythonIntro.py
  • Introduction to ROOT: RootIntro.py
  • Shell commands: shell_commands.pdf
  • Python and ROOT intro macro: CalcPrimeNumbers.py CalcPrimeNumbers.py (very commented)



    Last updated: 2nd of September 2014.