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Applied Statistics (N413004SIS)

Lecture Exercise Laboratory Examination Credits
1 2 0 Z+Zk 4
   

Syllabus:

  • 1. Descriptive statistics, describing small data files, basic charakteristics.
  • 2. Probability of random events, independence of random events.
  • 3. Random variable, distribution function, probability function, density.
  • 4. Mean, variance, quantiles, median, critical values, independence and correlation of random variables.
  • 5. Fundamental types of discrete and continuous distributions.
  • 6. Random sample, sample statistics.
  • 7. Point estimates, confidence intervals.
  • 8. Testing of statistical hypotheses, type I and II errors. One-sample tests about mean and variance.
  • 9. Two-sample tests about means and variances.
  • 10. Independence testing.
  • 11. Goodness-of-fit testing.
  • 12. Contingency tables.
  • 13. Fundamentals of regression analysis.
  • 14. Summary, alternatively more specific statistical methods.