No.: 506555/506556, Semester: 5. S[201], Type: Lecture/Practical, Hours/Week: 3 L / 1 P, ECTS Credits: 4/1

Lecturer
Ernst Stadlober / Ernst Stadlober

Status of the Course
Compulsory course of  Technical Mathematics

Aims and objectives
To provide a solid introduction to fundamentals of statistics. To learn the basic concepts and methods of statistical infernce.

Teaching method
Problem oriented exposition and derivation of fundamental results. Homweworks with theoretical problems case studies via SPSS 14.0 and R 2.5.1.

Contents
Exploratory Data Analysis
Basic Concepts of Inference
Tests of Hypothesis
Regression Analysis

Pre-requisites
Probability Theory

Teaching aids
Bühl, A. Zöfel, P. (2004): SPSS 12, Einführung in die moderne Datenanalyse unter Windows, 9. Aufl., Pearson Studium, München.
Fahrmeir L., Künster r., Pigeot I., Tutz g. (1999): Statistik: Der Weg zur Datenanalyse, 2. Auflage, Springer, Berlin..
Lehn J., Wegmann H. (2006): Einführung in die Statistik, 5. Auflage, B:G: Teubner, Wiesbaden.
Pruscha H. (2006): Statistisches Methodenbuch, Springer, Berlin.

Examination method
L: written, P: case studies including written reports and oral presentations

Download DATA:

sav (SPSS): Luftdaten_GrazMitte101105.sav, MuenchnerAbsolventenstudie_1995.sav, aimu_1985.sav, Staubdaten_GS_0506.sav, Staubdaten_GM_0506.sav

dat (R): Luftdaten_GrazMitte101105.dat, MuenchnerAbsolventenstudie_1995.dat, aimu_1985.dat

Download Hand Outs:

Bsp_MultipleRegression_GrazMitte.pdf

Anhang_A_Testverteilungen.pdf

Anhang_B_Tabellen.pdf

A tutorial on SPSS 14 can be downloaded from here .