Statistic
Keywords |
Classification |
Keyword |
OFICIAL |
Economics |
Instance: 2022/2023 - 1S
Cycles of Study/Courses
Acronym |
No. of Students |
Study Plan |
Curricular Years |
Credits UCN |
Credits ECTS |
Contact hours |
Total Time |
LRI |
87 |
Study plan |
2 |
- |
6 |
41 |
162 |
Teaching language
Portuguese
Objectives
At the end of this UC students should know / be able to:
1) Basic concepts related to the organization and presentation of data
2) Know and apply as techniques of descriptive statistics
3) Know and apply the techniques of inferential statistics
4) Read and critically analyze works of a quantitative nature related to the areas of the study cycle
5) Perform data analysis and data processing using Microsoft Excel and jamovi.
Learning outcomes and competences
Knowledge of fundamental theoretical concepts in the field of Statistics and their application in specific contexts. Ability to perform empirical analysis in social sciences and humanities. Development of a critical and reflective attitude in the analysis of quantitative information. Development of oral and written communication skills.
Working method
Presencial
Program
1. Basic concepts
2. Data organization and analysis in spreadsheets
3. Descriptive statistics
4. Statistical Inference
4.1. Confidence intervals
4.2. Hypothesis tests
4.3. Regression
Mandatory literature
Alexander, M., Kusleika, D., & Walkenbach, J; Excel® 2019: Bible, Wiley, 2019. ISBN: 978-1-119-51476-3
Pollock III, P. e B. Edwards ; The Essentials of Political Analysis, Sage Publishing, 2019. ISBN: 978-1506379616
Complementary Bibliography
Marchant-Shapiro, T.; Statistics for political analysis: Understanding the numbers, SAGE, 2015. ISBN: 978-1452258652
Shively, W. P.; The craft of political research. , Routledge, 2017. ISBN: 9781138284371
Galderisi, P. F; Understanding political science statistics: Observations and expectations in political analysis, Routledge, 2015. ISBN: 9780415890052
Teaching methods and learning activities
The teaching / learning process is based on theoretical-practical classes, which include the exposure of theoretical elements and the realization of exercises. The active participation of students in the classroom is strongly encouraged, using, in particular, various articles and reports on topics related to the study cycle that illustrate the techniques studied. Classes take place in computer labs, in order to enable, in all points of the syllabus, the use of computer tools for data analysis and treatment (Microsoft Excel and / or jamovi), using databases related to the themes of the study cycle.
Software
Microsoft Excel
jamovi
keywords
Social sciences > Political sciences > Policy studies > International relations
Social sciences > Economics
Physical sciences > Mathematics > Statistics
Evaluation Type
Distributed evaluation with final exam
Assessment Components
Designation |
Weight (%) |
Exame |
70,00 |
Trabalho escrito |
30,00 |
Total: |
100,00 |
Amount of time allocated to each course unit
Designation |
Time (hours) |
Estudo autónomo |
121,00 |
Frequência das aulas |
41,00 |
Total: |
162,00 |
Eligibility for exams
According to FLUP’s regulations.
There are 2 grading components: Exam (70%) and Homeworks (30%)
Both components are mandatory and have a minimum grade of 8 points.
It is possible to improve the final classification of the Exam component only. The Homework grade is not subject to appeal.
In all periods (normal, supplementary and special), the exam has a weight of 70% in the final grade and the homework has a weight of 30%.
Calculation formula of final grade
The final grade corresponds to the weighted average of the classification obtained in the exam and in the homework, with a minimum grade of 8 points in each component of the evaluation:
70% Exam + 30% Homework
Classification improvement
According to FLUP’s regulations.
It is possible to improve the final classification of the Exam component only. The Homework grade is not subject to appeal.