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

ESTATÍSTICA - 2023/2024

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

Teachers

Leading Teacher: Prof. Doutora Isabel Araújo

Class type and School hours

Orientação Tutorial : 1 Horas
Teórico-prática : 2 Horas

Teaching Language

Portuguese

Main Aims/Objectives

It is intended that the students acquire general knowledge of statistics and that they become able to interpret and critically analyse statistical studies and results.

Specific Aims/Objectives

It is intended that the students learn how to use and interpret the measures and methods of univariate and bivariate descriptive statistics and acquire knowledge of statistical inference.

Skills to be acquired

Compute and interpret the main measures of descriptive statistics. Analyse graphical representations of data. Do estimations based on confidence intervals and perform hypothesis tests.

Teaching Procedures

The contents are presented following an expository methodology, that includes the theoretical development and the examples promoting their assimilation. When appropriate, texts for in depth study are made available. Exercise sets are proposed to the students. During the tutoring hours are the students are assisted in solving the exercises.

Programme

1. Introduction to statistics
1.1 Statistics and its applications
1.2 Data classification
1.3 Data collection and associated problems
2. Descriptive statistics
2.1 Qualitative and quantitative variables; graphical methods
2.2 Central tendency measures
2.3 Variability measures
2.4 Relative position measures
3. Probability
3.1 Events space
3.2 Union and intersection of events; complementary events
3.3 Conditional probability
3.4 Independent events
4. Random variables and their distributions
4.1 Discrete probability distributions
4.2 The binomial distribution
4.3 Continuous probability distributions
4.4 The normal distribution
4.5 Normality tests
4.6 Sampling distributions
4.7 Central limit theorem
5. Statistical inference: confidence intervals
5.1 Confidence intervals for the population mean: large samples
5.2 Confidence intervals for the population mean: small samples
5.3 Confidence intervals for a population proportion: large samples
5.4 Sample size and confidence intervals
6. Statistical inference: hypothesis testing
6.1 Introduction to hypothesis testing
6.2 Significance level and p-values
6.3 Hypothesis tests for the population mean: large samples
6.4 Hypothesis tests for the population mean: small samples
6.5 Hypothesis tests for a population proportion: large samples
7. Introduction to linear regression
7.1 Correlation
7.2 Linear regression

Evaluation Type

The continuous assessment is based on two written examinations, with the duration of about one hour each. The first one takes place half way through the semester and examines contents pertaining to the first half of the syllabus. The second one takes place towards the end of the semester and examines contents pertaining to the second half of the syllabus.

Teaching Resources

The teaching resources for students use are the books in the bibliography, computers and statistical software (Microsoft Excel).

Sustainability Objectives

Keywords

Statistics
Data analysis
Inference
Probability

Main Bibliography

Complementary Bibliography