2019: Mathematics and Statistics ( + Introductory R )

Course Info

Course Name Basic Concepts of Mathematics and Statistics
Program Name BSc. Global Environmental and Sustainability Studies
University Leuphana Universität Lüneburg
Course Files Github Repo

Course Contents

The key topics that I covered during the semester were:

  1. Types of data
  2. Distribution of data
  3. Descriptive Statistics
    • Measures of central tendencies: mean, median, mode
    • Measures of dispersion: variance, range, quartiles, interquartile range
    • Descriptive plots: scatter plots, line charts, bar charts, box plots, histograms, density plots
  4. Inferential Statistics
    • Covariance and correlation
    • Linear regression
    • Statistical tests
      • Shapiro Wilk’s test for normality
      • Chi-square test
      • F-test for equality of variances
      • t-test for equality of means
      • ANOVA
  5. Overview of research process