Data Handling and Statistical Analyses

• Data Handling and Statistical Analyses
• Lecturer: Priv.-Doz. Dr. habil. G. Kirchner

Lecture content:
1. Statistical Tests
a. Test hypotheses and pitfalls
b. Applications, strategies and interests
c. Tests for the normal distribution, Kolmogorov-Smirnov

2. Parametric Tests
a. Applicability, advantages and limitations
b. Properties of mean values, t-test
c. Properties of variances, chi**2- and F-tests,
d. Analysis-of-Variance tests (ANOVA)
e. Tests of the association between variables, correlation coefficient

3. Nonparametric Tests
a. Applicability, advantages and limitations
b. Tests equivalent to the parametric tests discussed

4. Analysis of Time Series Data
a. time trends and cycles in environmental data
b. tests for time trends

* Hays, W.L.; Winkler, R.L., Statistics: Probability, Inference, and Decision, Vols. I and II, Holt, Reinhart and Winston, New York, 1970
* Sachs, L., Angewandte Statistik, Springer-Verlag, Berlin, 2002