LFU:online

Mediation of scientific work with (simple) statistical methods using examples, focus is on univariate and bivariate methods to multivariate statistical method is referenced in the view.

1 Introduction and Basic Concepts Data handling 2 Data types and allowed operations 3 Sample and population for finite and infinite populations , sample 4 Data preparation 5 Some probability terms " classical" probability , relative frequency and frequentist interpretation , subjective probability ( expert knowledge) probability density and probability function over-and underflow probabilities , probability limits between 6 Description of distributions (Note , this is matter for the 6th grade school , so can actually be assumed) non-parametric and parametric description of treatment slate records Skaligkeit of processes, linking parts of the range , managing, Overlay of trends, nonstationarity 7 Parameter estimation and conclusion on the population failure heritage liability , standard error of mean, standard deviation and percentage values ​​, confidence intervals sample size depending on the error and accuracy digression on error analysis , error propagation 8 Test statistic statistical hypotheses variance differences: F-test mean differences : t-test Media differences: Mann-Whitney U-test test on distribution : Kolmogorov - Smirnoff test ( sample test on NV) one and multidimensional crosstabs in passing : analysis of variance ( as in the Geography hardly applicable ) 9 Correlation and regression impossibility of causal statements , Folly of hypothesis- free correlations , Pearson's correlation coefficient , method of least squares , Residualstreuung and " RMS Error" confidence intervals , nonlinear relationships 10 Adaptation of theoretical distributions to normal distribution records , log- normal distribution , Gumbel 11 cursory view of multivariate process variable reduction , model forming method , multiple regression models.

Frontal teaching with numerous examples

combined multiple-choice test and open questions

z.B.

Walser, H. (2011): Statistik für Naturwissenschaftler. UTB 3541. (als e-book in der ULB verfügbar)

Quatember, A. (2014): Statistik ohne Angst vor Formeln: Das Studienbuch für Wirtschafts- und Sozialwissenschaftler. Pearson Studium.

Bahrenberg G., Giese E., Mevenkamp N., Nipper J. (2010): Statistische Methoden in der Geographie: Band 1 Univariate und bivariate Statistik. Studienbücher der Geographie, Bornträger.

Krickhahn Th. (2013): Statistik für Wirtschafts- und Sozialwissenschaftler für Dummies. Wiley, Weinheim.

Kuckartz U., Rädiker S., Ebert Th., Schehl J. (2013): Statistik. Eine verständliche Einführung. Springer Fachmedien Wiesbaden (als e-book in der ULB verfügbar)

Stahel W. (2008): Statistische Datenanalyse. Eine Einführung für Naturwissenschaftler. Vieweg, Wiesbaden.

Sachs L., Hedderich J. (2016): Angewandte Statistik. Methodensammlung mit R. Springer. (als e-book in der ULB verfügbar)