Statistics
BITM-230
P420-0452
itm2
4
V
5
2
yes
English/German
Written exam
BITM-230
International Tourism-Management
2
mandatory course
BITM-230
International Tourism-Management
2
mandatory course
BITM-230
International Tourism-Management
2
mandatory course
60 class hours (= 45 clock hours) over a 15-week period.The total student study time is 150 hours (equivalent to 5 ECTS credits).There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
BITM-140
Mathematics
Prof. Dr. Teresa Melo
tme
Prof. Dr. Teresa Melo
tme
Dozierende des Studiengangs
all
After successfully completing this course students will be able to:
- describe basic economic concepts of descriptive statistics for
univariate and bivariate data analysis,
- apply concepts for the graphical presentation of empirical data,
- select suitable methods for statistical data analysis and
apply them independently to specific subjects,
- identify correlations and dependencies between
statistical features,
- describe and model random phenomena using concepts from the probability theory,
- describe basic methods from the probability theory
and apply them to exemplary economic situations,
- apply the most important discrete and continuous probability distributions
(e. g. binomial and normal distributions),
- explain basic procedures of inferential statistics such as the principle of point
and interval estimators,
- solve business practice problems with the help of adequate
statistical methods and interpret the results obtained,
- understand possible applications in other fields of business studies and their practice,
- Students will know the limits of the statistical methodology used and be able to
discuss them critically.
Descriptive statistics:
- Classification of features
- Frequency tables for classified and nonclassified data
- Graphical representation of univariate data sets
- Description of univariate datasets using measures of location, dispersion and
concentration
- Bivariate data analysis: graphical representation of data sets and
investigation of the relationship of statistical characteristics (contingency, correlation,
rank correlation)
- Linear regression
- Statistic software (for example: SPSS)
Probability calculation:
- Probability terms: Laplace distribution, statistical
probability, Kolmogorov"s probability theory
- Elementary calculation rules, total probability theorem, Bayesian theorem
- Discrete and continuous random variables
- Special distribution models (e.g. binomial and normal distribution)
Inferential statistics:
- Point and interval estimations
Lecture and discussion in a large group using transparencies (projectors) and the blackboard (theory and example calculations).
The lecture will be supplemented by exercises and tutorials. In order to support independent work, a large number of exercise sheets covering the wide range topics in this module will be provided. Afterwards, the solutions will be discussed with the students.
Both the lecture notes and the exercise sheets will be available to students in electronic form.
Case studies from the field of tourism, such as for example: competitor analyses, destination research and guest surveys
Caputo, Fahrmeir, Künstler, Lang, Pigeot-Kübler, Tutz: Arbeitsbuch Statistik, 5. Auflage, Springer, Berlin, 2009
Fahrmeir, Künstler, Pigeot, Tutz: Statistik: Der Weg zur Datenanalyse, 7. überarbeitete Auflage, Springer, Berlin, Heidelberg, 2010
Schira: Statistische Methoden der VWL und BWL: Theorie und Praxis, 3., aktualisierte Auflage, Pearson Studium, 2009
Toutenburg, Heumann: Arbeitsbuch zur deskriptiven und induktiven Statistik, 2. Auflage, Springer, Berlin, Heidelberg, 2009
Toutenburg, Heumann: Descriptive statistics: Eine Einführung in Methoden und Anwendungen mit R und SPSS, 7. aktual. u. erw. Auflage, Springer, Berlin, Heidelberg, 2009
Toutenburg, Heumann: Induktive Statistik: Eine Einführung mit R und SPSS, 4. überab. und erw. Auflage, Springer, Berlin, Heidelberg, 2008
English literature:
Bowerman, O´Connell, Murphree: Business Statistics in Practice, 6th edition, McGraw-Hill/Irvin, 2011
OpenStax College, Introductory Statistics, Rice University, Houston, Texas, U.S., 2013
Sweeney, Williams, Anderson: Fundamentals of Business Statistics, 6th edition, Cengage Learning Emea, 2011
Fri Jun 14 11:01:04 CEST 2024, CKEY=isx, BKEY=itm2, CID=[?], LANGUAGE=en, DATE=14.06.2024