STATISTICS FOR BUSINESS AND DECISION MAKING - 6 CFU

Economics and communication for management and innovation

10592727

 

Knowledge and understanding

This course aims at introducing students with useful statistical methods for describing and analysing economic and business data.

 

Applying knowledge and understanding

At the end of the course the student will be able to: - represent and synthesize economic and business data through the use of descriptive statistics tools; - knows data collection sources and methods; - knows of tools for analysing the relationships between variables; - uses these tools for the study of data in the business economy.

 

Making judgements

By the end of the Course the students will be able to apply descriptive statistics for business and economic data for the study of specific firms’ situations.

 

Communication skills

By the end of the Course the students will have acquired the basic knowledge in order to understand the nature of data and interpret the relationships between the various statistical phenomena in the business economic field.

 

Learning skills

By the end of the Course the students will be able acquired theoretical statistical knowledge in order to deal with advanced courses in inferential and multivariate statistics.

 

Course contents

  1. Introduction
  • Measurement, Errors and Data for Consumer research
  1. Primary Data collection
  • Type o surveys
  • Survey errors and research design
  • Measurement scales
  • Questionnaire
  1. Data preparation and descriptive statistics
    • Type of data
    • Graphical representation
    • Position and variability indicators
  2. Association and correlation among variables
    • Two way tables, Chi2 association
    • Correlation: Pearson Rho indicator
  3. Cluster analysis
    • Hierarchical and non-hierarchical procedures
  4. Continuous random variables
  5. Inferencial statistics
    • Point estimates
    • Interval estimations
    • Hypotesis test

 

 

Readings/Bibliography

Statistics for Marketing and Consumer Research. Mario Mazzocchi, SAGE Publications Inc, 2008.
Further references will be given when needed.

 

Teaching methods

Lectures (Attendance at classes is not mandatory)

 

Assessment methods

Written exam: multiple-choice test and empirical examination with R-software.