Applied Statistics - Week 5

The following chapters (including exercises in the book!) and computer exercises are considered read, understood, and solved by the end of the week.

Lectures:

Confidence intervals and Limits

Bayes' Theorem

Reading:

Chapter 7.1-7.2 (up to 7.2.4): Bayes' Theorem and confidence intervals.

Chapter 7.3 Student's t-distribution.

Computer exercises:

City Population: CityPopulation.py,
      Datafiles: data_CityPopulation1.txt and data_CityPopulation2.txt
      Questionaire for limits on 2M+ cities of the World

Harmonic Oscillator: HarmonicOscillatorFit.py
      Datafiles: data_HarmOsc1.txt, data_HarmOsc2.txt and data_HarmOsc3.txt.

Calibration: Calibration.py,
      Datafiles: data_Calibration.txt and

Comments:
We continue with hypothesis testing, and also touch upon Bayes' Theorem and confidence intervals. Finally, we'll discuss calibration and project 2 starting.

---

Last updated: 3rd of October 2013.