Statistics I

Nummer

20203S1

Zielsetzung / Purpose

Understands the basic concepts and rules of probability theory. Understands the tools and concepts of descriptive statistics, and is able to apply the same to real-life cases. Understands the basic concepts of linear correlation, and simple linear regression analysis, and is able to apply the same to real-life cases. Understands applications and uses of statistics in the field of economics, for example in the calculation of index numbers. Is able to carry out statistical analysis in SPSS on the basis of the theory covered in the course.

Inhalt / Content

Introductory concepts of probability theory Random experiments, definition of probability (based on classical theory and relative frequency method), outcomes and events, mutually exclusive and non-exclusive events, dependent and independent events, Bayes theorem, counting methods, simple, stratified, and cluster sampling methods Descriptive statistics Levels of measurement, discrete and continuous variables, absolute and relative frequencies, frequency tables and diagrams based on these, shape of distribution (symmetrical, positively and negatively skewed), numerical measures of location (mean, median, and mode), geometric mean, numerical measures of dispersion (range, mean absolute deviation, variance, standard deviation, coefficient of variation), empirical rule, Chebyshev's theorem, Pearson coefficient of skewness, quartiles, percentiles, box plots, identification of outliers Linear correlation and simple linear regression analysis Related variables, Pearson coefficient of correlation, simple linear regression Application to economics Index numbers, aggregate index, Laspeyres price index, Paasche price index, consumer price index SPSS Construction of frequency distributions, calculations of numerical measures of location and dispersion, histograms, frequency polygons, cumulative frequency distributions, box plots, scatter plots, bivariate correlation analysis, simple linear regression analysis

Besondere Eintrittsvoraussetzungen / Special Conditions of Admission

Business Maths I (Methods 2)

Bibliographie/Literatur / Bibliography / Literature / References

Information about the text book to be distributed at the beginning of the semester Online supplement course

Lehr- und Lernmethoden / Methods

Lectures Guided self-study Working with SPSS

Leistungsbewertung/Testanforderung(en) / Assessment

Written examination (60 minutes)

Anschlussmodule/-kurse / Next Module / Course

Business Statistics II (Methods 5)