Strategy III

Code

2435

Credits

3,5

Teacher in charge

Ana Amaro

Teaching language

English

Objectives

This course offers a practical introduction to data analysis. A researcher is often interested in using sample data to investigate relationships between variables (quantitative or categorical), with the goal of creating a model to predict a future value for some dependent variable or just to understand the type of relationship (if any) between variables. Main topics will include: inference statistics and distributions, contingency analysis, analysis of variance, simple and multiple linear regression. Excel, Gretl (freeware) and SPSS will be used to conduct the statistical analysis.

Prerequisites

N/A

Subject matter

1. Refresh of the essential on statistical decision

2. Confidence Intervals for one and two parameters

3. Hypothesis testing for one and two parameters

4. ANOVA and MANOVA

5. Principal Component Analysis

6. Qui square tests

Bibliography

Textbook:

Newbold, Carlson and Thorne Statistics for Business and Economics, 8th Edition, Pearson Education, 2013 (Other editions of this book 6th and 7th) may also be used (the numbering of the chapters and exercises being different).

Teaching method

1. Formal lessons with reference tools and concepts linked to real business and management problems;
2. Solving examples;
3. Use of an adequate software.

Evaluation method

Two mini tests of 30 minutes each (25%);

Two case studies to be sent to the graders (15%);

Final exam (60%);

A minimum grade of 8.5/20 is required in the final exam;

Course participation, with case studies in paramount can round the final grade up or down.

Courses

• International Masters in Management
• Masters in Management