Cursos / 1º Ciclo / Faculty of Economy and Business Management :: Economics
ESTATÍSTICA - 2018/2019
2º curricular year
Semestralidade: 1st semester
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
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.
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.
Theoretical classes and tutorial classes will be given. Theoretical material will be exposed and exercises related to the subject will be solved.
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
3.5. 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
The continuous assessment consists of two written examinations each with the duration of about one hour and half. The first one covers the first half of the course contents and takes place approximately half way through the semester and the second one covers the second half of the course contents and takes place towards the end of the semester.
The theoretical-practical classes will be given using computer resources, namely with Microsoft PowerPoint graphical projections.
Moodle notes and exercises will be available for students, however students are invited to read the recommended bibliography and to carry out the exercises proposed there.
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.
Probability; Statistic; Population; Distribution
|Author||GUIMARÃES, Rui & CABRAL, José António|
|Author||MURTEIRA, Bento; RIBEIRO, Carlos; SILVA, João, PIM|
|Title||Introdução à Estatística|
|Author||WONNACOTT, Thomas & WONNACOTT, Ronald|
|Place||New York, USA|
|Editor||John Wiley & Sons|
|Title||Análise Estatística com o SPSS Statistics|
|Title||Statistics for Technology|
|Editor||Chapman & Hall|