Data Analysis and Probability
Code
1304
Academic unit
null
Department
null
Credits
7,5
Teacher in charge
Patrícia Ferreira Ramos; Maria Ana Matias
Teaching language
Portuguese and English
Objectives
The course provides students with essential tools for the analysis of different data types and basic knowledge of probability theory and random variables. Students will use both computational and graphical methods to analyze the necessary information that will enable decision-making in Economics and Management.
Prerequisites
N/A
Subject matter
0: Summations review. Introduction to Excel
1: Descriptive Statistics - frequency distributions
2: Descriptive Statistics - numerical measures
3: Two-dimensional variables. Regression and simple correlation/
4: Times series
5: Index numbers
6: Probability
7: Probability distributions of discrete random variables
Bibliography
Newbold P., Carlson W. and Thorne B. Statistics for Business and Economics: Global Edition. Pearson, 2013. ISBN: 9780273767060.
Ralph J., ONeil R. and Winton J., A Practical Introduction to Index Numbers. Wiley, 2015. ISBN: 9781118977811.
Resources
Classroom. Computer room.
Teaching method
Lectures, practical lessons in the classroom and practical classes with the use of Excel.
Evaluation method
The Final Exam is mandatory and must cover the entire span of the course. Its weight in the final grade can be between 30 to 70%. The remainder of the evaluation can consist of class participation, midterm exams, in class tests, etc. Overall, written in class assessment (final exam, midterm) must have a weight of at least 50%.
Regular exam period:
Continuous assessment (and their weights) if different than 100%: Midterm (20%), problem in Excel (10%) and group project (15%).
Final exam (and its weight): final exam (55%)
Resit exam period:
Continuous assessment (and their weights) if different than 100%: Final exam (and its weight): final exam (100%).
Grade improvement in regular exam period:
Continuous assessment (and their weights) if different than 100%: Midterm (20%), problem in Excel (10%) and group project (15%).
Final exam (and its weight): final exam (55%)
Grade improvement in resit exam period:
Continuous assessment (and their weights) if different than 100%: Final exam (and its weight): final exam (100%)