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Statistical Analysis

course

Aims of the course

Upgrade basic statistical knowledge and develop skills and ability for inference statistical approaches (confidence intervals, hypothesis tests, ANOVA, regression and correlation analysis, introduction to time series analysis).

Course syllabus

Data sources and data collection
Survey methods
Descriptive statistics
Probability and discrete distributions
Normal distributions and Sampling distributions
Confidence intervals
Testing hypotheses about a population
Testing differences in means and variances
Analysis of variance
Chi-square test
Correlation and simple linear regression
Multiple regression
Regression model building
Time series

Course director(s)

  • Marko Pahor, PhD, Full Professor

  • Academic Unit for Mathematics, Statistics and Operations Research (Regular Member)
  • Academic Unit for Money and Finance (Associate Member)
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  • Office Hours
  • Wednesday at 14:00 in RZ-107
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  • Skype: joze.rovan 
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  • Office Hours
  • Wednesday at 10:15 in RZ-403
 
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