1. Introduction to the content of the lecture cycle. The concept of data, types of geological data; stages of the data analysis process; collection, analysis and data selection; data formalization; data recording and storage, data sorting; data processing and graphical presentation. 2. The concept of statistics (history, current content); examples of applications in geology; basic concepts (statistical unit, statistical sign, statistical file); definition of probability 3. Description of one-dimensional statistical files; basic data set (absolute, relative, cumulative) + Graphical representation of geological data. 4. Basic statistical characteristics (median, quantiles, mode, range, arithmetic mean, variance, standard deviation, coefficient of variation, skewness, pointedness, geometric mean, harmonic mean, etc.) 5. Basic types of frequency distribution; examples of geological phenomena; population estimates; estimation properties, estimation consistency, yield, robustness. 6. Basic concepts and procedure of testing statistical hypotheses (tests of good agreement, testing of differences, tests of paired quantities, non-parametric tests, identification of outliers, analysis of variance) 7. Description of mutual relations of quantities (correlation analysis, regression analysis) 8. Multivariate classification procedures (discriminant analysis, pooling analysis, factor analysis, etc.) 9. Time series analysis (moving average method, Cox-Jenkins method, ARIMA)
|
The course is focused on current methods and procedures of processing geological data on a PC. The course includes a theoretical part in which students are introduced to the basics of probability theory, descriptive statistics, statistical inference, hypothesis testing, characterization of multidimensional sets, time series analysis, etc. Tutorials are focused on processing statistical tasks and working with selected software packages used in geology, geochemistry, geophysics and geostatistics.
|