Week 1: Basic concepts of statistics. Statistical population and variables. Presentation of statistical series.
Week 2: Concept and types of ratios. Construction of statistical tables using summaries.
Week 3: Data filtering in MS Excel using the Pivot Table Wizard. Practical examples of ratio analysis: structure ratios, coordination ratios, dynamic ratios (base and chain indices), spatial comparison ratios, planning ratios and plan fulfilment ratios.
Week 4: Computed measures of central tendency I. (for raw data): arithmetic mean, standard deviation, quartiles.
Week 5: Computed measures of central tendency for data given in frequency tables: arithmetic mean, standard deviation.
Week 6: Computed measures of central tendency II.: geometric mean, harmonic mean, chronological mean, quadratic mean.
Week 7: Positional measures: mode, range, quartiles (lower quartile, median, upper quartile), box plot.
Week 8: Systematisation of methods for measuring dispersion. Standard deviation, relative dispersion.
Week 9: Index number calculation: value index, price index, volume index; base-period and current-period indices.
Week 10: Index number calculation: Fisher price index and volume index.
Week 11: Revision of index number calculation.
Week 12: Summary and revision.
Week 13: Solving end-term test tasks, revision.
Week 14: Solving complex problems based on acquired knowledge.
- Tanár: Dr. Bodnár Tamás András