Statistics for Business Administration

Lecture Annoucement (PDF)

Statistics for Business Administration (with Introduction to R) [MA9712]

Lecturer (assistant)
Number0000003773
TypeLecture with exercise
Duration4 SWS
TermSommersemester 2017
Language of instructionEnglish
Position within curriculaSee TUMonline
DatesSee TUMonline

Dates

Course criteria & registration

Objectives

At the end of the module students are able to apply the basic methods of descriptive statistics and statistical inference and can draw correct conclusions from the results of these statistics. Further they know how to apply the basic methods of probability calculus. The students also know how to perform in R the basic statistical methods introduced in the module. They should also be aware of the capabilities and the limitations of the statistical methods introduced in the lecture.

Description

Descriptive statistics: - measures of location and variation - graphical representation of uni- and bivariate data - measures of association for bivariate data - descriptive linear regression Probability calculus: - examples of discrete and continuous probability distributions - conditional probabilities - stochastic independence - random variables and their distribution functions and moments - conditional distributions Statistical inference: - confidence intervals - hypothesis tests - basic ideas of multiple linear regression Introduction to the statistical software package R and guidance on how to perform simple statistical analyses in R.

Prerequisites

MA9711

Recommended literature

[1] Caputo, A., Fahrmeir, L., Künster, R., Lang, S., Pigeot, I., Tutz, G (2009). Arbeitsbuch Statistik. Springer. [2] Cramer, E., Kamps, U. (2007). Grundlagen der Wahrscheinlichkeitsrechnung und Statistik, Springer. [3] Diesz, D., Barr, C., and Cetinkaya-Rundel, M. (2015): OpenIntro Statistics, 3rd edition, https://www.openintro.org/stat/textbook.php [4] Fahrmeir, L., Künster, R., Pigeot, I., Tutz, G. (2009). Statistik: Der Weg zur Datenanalyse. Springer. [5] Field, A., Miles, J. and Field, Z. (2012). Discovering Statistics Using R. SAGE. [6] Verzani, J. (2004). Using R for Introductory Statistics. Chapman & Hall.

Links

Exercises for Statistics for Business Administration (with Introduction to R) [MA9712]

Lecturer (assistant)
Number0000003774
TypeExercise
Duration1 SWS
TermSommersemester 2017
Language of instructionEnglish
Position within curriculaSee TUMonline
DatesSee TUMonline

Dates

Course criteria & registration

Description

During the exercise sessions the students can get support in solving the statistical problems on the provided exercise sheets.

Prerequisites

MA9711

Links