Cursos / 1º Ciclo / Faculty of Economy and Business Management :: Marketing

ESTATÍSTICA - 2021/2022

2º curricular year
Semestralidade: 1st semester
ECTS: 6

Teachers

Leading Teacher: Prof. Doutor Paulo Aguiar
Assistant Professor: Prof. Doutor Paulo Aguiar

Class type and School hours

Orientação Tutorial : 1 Horas
Teórico-prática : 2 Horas

Teaching Language

Portuguese

Main Aims/Objectives

Enable students to gain an integrated view of basic and advanced concepts of frequently applied statistical techniques. The concepts and techniques are introduced through examples, intended in this way that students learn through concrete problems.

Specific Aims/Objectives

The student should be able to perform statistical studies and work with several distributions of discrete and continuous variables.

Skills to be acquired

It is expected that students become critical users of methods of statistical analysis, with autonomy to apply them in the preparation of decisions.

Teaching Procedures

Theoretical classes and tutorial classes will be given. Theoretical material will be exposed and exercises related to the subject will be solved.

Programme

1. Introduction
1.1. Purpose of statistics. Nature of method
2. Descriptive Statistics
2.1. Characterization of univariate and bivariate samples
3. Elementary Probability Theory
3.1. Sample spaces and events
3..2 The concept of probability
3.3. Conditional Probability
3.4. Independence.
3.5. Combinatorial analysis. Permutations, arrangements and combinations.
4. Random variables. Probability distributions
4.1. Random variables.
4.2. Distributions of discrete variables
4.3. Distributions of continuous variables
4.4. Parameters of distributions
5. Characterization of some univariate discrete distributions
5.1. Binomial Distribution
5.2. Negative Binomial Distribution
5.3. Hypergeometric Distribution
5.4. Poisson distribution
6. Characterization of some univariate continuous distributions
6.1. Uniform Distribution
6.2. Exponential Distribution Negative
6.3. Normal Distribution
6.4. Distribution of the Chi-square
6.5. Distribution t (of Student)
6.6. Distribution F
7. Sampling. Distribution of sample statistics
7.1. Random sampling
7.2. Sample distributions
7.3. Distribution of the sample mean
7.4. Central limit theorem
7.5. Generation of samples using the Monte Carlo technique
8. Estimation by interval. Confidence intervals
8.1. The concept of confidence interval
8.2. Specifying confidence intervals
8.3. Sizing of samples

Evaluation Type

The Continuous Assessment is based on 2 written tests each containing complementary parts of the program. If the written tests are to be carried out online on the Moodle platform, students who obtain a grade higher than 14.0 on the online platform will need to take an oral test that will more accurately assess their knowledge. Those who do not need this oral exam will get 14 in this exam. Each test will last for 1 hour.

Teaching Resources

The theoretical-practical classes will be given using computer resources, namely with Microsoft PowerPoint graphical projections.
The proposed exercises and other relevant content will be placed on the Moodle platform. This platform may come to be used in online examinations.
In the assessment the students can use the scientific and non-graphical calculating machine and use only the tables of the studied distributions available in Moodle.

Sustainability Objectives

Keywords

Probability; Statistic; Population; Distribution

Main Bibliography

Complementary Bibliography