**[Cr:4, Lc:3, Tt:1, Lb:0]**

- Data types binary data (absence present data), integer data (abundance data), univariate and multivariate measurement data, geospatially data, time series data, spatio-temporal data.
- Uncertainty and error propagation.
- Univariate Data analysis: Descriptive statistics (Mean, Variance, Standard deviation), Robust statistics (Median, Quarter values, Median Median Deviation), Skewness, Kurtosis.
- Testing datasets for normality (Shapiro-Wilk test, Jarque-Bera test, Chi-square test, Anderson-Darling test).
- Statistical tests for normal distributed datasets (F test, t-test, Welch test), Tests for paired data (t, sign, Wilcoxon), tests for equal coefficient of variation.
- Statistical tests for environmental datasets that are not normal distributed (Mann-Whitney test and Friedman test for equality of median, Kolmogorov-Smirnov for equal distribution.
- Multivariate Data analysis: ANOVA and Kruskal-Wallis test, Levene's test for homogeneity of variance, unequalvariance (Welch) version of ANOVA, ANCOVA (Analysis of covariance), ANOSIM (Analysis of Similarity), Principle Component Analysis, Principle Coordinate Analysis, Positive Matrix Factorisation, Chemical Mass Balance Modelling, Correspondence Analysis, detrended correspondence analysis, canonical correspondence analysis, Cluster Analysis, Regression analysis (Linear, Polynomial, Sinosoidal).
- Diversity indices, taxonomic distinctness, diversity t-test, SHE analysis, diversity curves, spindle diagram.
- Seriation, Unitary Associations, Appearance event ordination.
- Time series analysis, spectral analysis, autocorrelation, cross correlation, autoassociation, wavelet transform, diel and seasonal cycles, Intervention analysis, trend analysis of cyclic data.
- Analysis of Geospatial data, Direction data, polar plots, rose plots, nearest neighbour point pattern, spatial autocorrelation and spatial interpolation, splines and warps.
- Receptor modelling in atmospheric sciences: back trajectory analysis, conditional probability and concentration weighted trajectories, wind roses and pollution roses.
- Spatio-temporal data: polar annulus plots.

- Ronald E. Walpole and Raymond H. Myers, Probability and Statistics for Engineers and Scientists (9th Edition).
- Hammer, O. & D. Harper. 2006. Paleontological Data Analysis â€“Wiley.
- Software tools
- PAST
- R
- Openair
- PanMap