ZO328 Statistical Data Analysis

Prof. Dr. Katarina Košmelj

Year 1, Term 1

Credits: 6

Hours: 75

Syllabus

  • Statistics and computing. Coursework with statistical software R.
  • Preliminary statistical analysis. Graphical presentation, basic descriptive statistics and analysis.
  • Regression and correlation.
    • Simple linear regression model.
    • Correlation: different correlation coefficients (Pearson, Spearman, Kendall).
    • Nonlinear regression models which can be linearized.
    • Multiple regression.
    • Specific regression models in bio-economics.
  • Multivariate statistics.
    • Distances for numerical and for categorical variables: Euclidean, Manhattan, Jaccard, itd…
    • Cluster analysis. Hierarchical methods, dendrogram. Optimization methods: K-means.
    • Ordination methods: classical multidimensional scaling, graphical presentation.
    • Principal component analysis.
    • An overview of other multivariate methods.

Assessment

Homeworks and a positive test in the computer laboratory are the prerequisite for the final written exam.

Reading list