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Statistics for Management

Syllabus

Lectures

Prof. One

  • Basic statistics
  • Laboratory practice

Prof. Two

  • Review of basic inference methods
  • The regression model for binary dependent variables
  • The Linear Regression Model
    • Definition
    • Inference
    • Goodness of fit
    • Multiple regression analysis.
  • Forecasting
    • Moving Averages
    • Smoothing methods
    • Forecasting with regression models
    • Time series and their components
  • Time series analysis
    • Moving Averages and Smoothing Methods
    • ARIMA models
  • Market segmentation
    • Clustering techniques
  • Regression models for Binary Dependent Variables

Exam

9 ECTS

Mode

  • 100% Written exam
  • open book
  • 10 open questions, 3 points each, final result is multiplied by 1.1
  • 100 minutes, 30 lines per question
Authors: Giacomo