Statistics

Quantitative Methods and EXCEL.

Classes are theoretical-practical, in accordance with what is stipulated in the curriculum plan.

• Theoretical component: presentation of subjects and resolution of illustrative examples.
• Practical component: solving practical exercises illustrative and complementary to the material exposed in theoretical classes, under the guidance of the teacher, but encouraging independent resolution.
• Practical laboratory component: solving practical exercises illustrative and complementary to the material exposed in theoretical classes, using EXCEL software, under the guidance of the teacher, but encouraging independent resolution and group discussion.

The three components will be alternated to assist in the learning process and consolidation of knowledge.

Students will have access to the indicative class schedule (PIA), at the beginning of the semester, in order to be aware of the type of component, material to be presented and exercises to be carried out in each class (except for any changes/adaptations resulting from the capacity of the assigned room). and/or number of students per shift).

Goals:

• Ability to explore data using numerical  and graphical methods, in order to identify the most relevant aspects, with application in the area of Management and Economics. 

Skills:

• Ability for analysis and synthesis, oral and written communication, problem solving and application of knowledge in practice.

1. Descriptive statistics

• 1.1 Data representation and organization
• 1.2 Statistical measures

2. Linear regression model

• 2.1 Introduction
• 2.2 Simple linear regression model
• 2.3 Correlation and determination coefficients
• 2.4 Forecast

3. Probability distributions

• 3.1 Discrete Theoretical Distributions
• 3.2 Continuous theoretical distributions
• 3.3 Sampling and the central limit theorem

4. Parametric estimation

• 4.1 Point estimation: Estimation methods and properties of estimators
• 4.2 Interval estimation: construction of confidence intervals

5. Parametric hypothesis tests

• 5.1 Location tests
• 5.2 Dispersion tests

NAO