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

ESTATÍSTICA - 2017/2018

2º curricular year
Semestralidade: 2nd semester
ECTS: 6

Teachers

Leading Teacher: Prof. Doutora Sofia Marques
Assistant Professor: Mestre Marta Quaresma

Class type and School hours

Orientação Tutorial : 1 Horas
Teórico-prática : 2 Horas

Teaching Language

Portuguese

Main Aims/Objectives

Statistics, to be framed in the curriculum of a degree in Marketing, aims at giving students an overview of the use of statistical methods in social research.

Specific Aims/Objectives

It is intended to provide students with sufficient knowledge and tools which relate to the use of logic and methods of mathematics and statistics in the quantitative study of the environment, based on the collection, interpretation and quantification of the data.

Skills to be acquired

Understand the techniques that allow collection of data in Marketing.
Understand the methods of quantification of data.
Understand the differences between the various techniques of data analysis.
Understand the use of the results.

Teaching Procedures

Theoretical concepts are developed and solved exercises on the same application. Students will have a set of exercises to practice skills.

Programme

1. Descriptive Statistics using SPSS
2. Inferential Statistics: Correlation and Regression using SPSS
3. Probability Theory
Definition of probability
Axiomatic properties of probability and mathematical probability
Conditional probability
Independent events
Bayes Theorem
4. Random Variables
One-dimensional random variables
Discrete random variables
Continuous random variables
Parameters of the random variables
Properties of the mean or expected value
Properties of the variance and standard deviation
Covariance and correlation coefficient
5. Normal Distribution and Normal Reduced
6. Sampling Theory
Population and Samples
Sampling Type
Sampling Distribution of Statistics
Sampling distribution of the average
Sampling distribution of variance
7. Estimation Theory
Estimation
Interval Estimation
8. Decision Theory
Assumptions Statistics
Test statistics
Critical value and rejection region for a hypothesis test
Errors associated with a statistical decision
Probability of significance (or p-value).

Evaluation Type

The evaluation will be done according to the rules chosen by students. Attendance sheet will be passed in all classes. Work will be undertaken to assess continuing to designate in a timely manner, and will be held mid-term evaluation evidence.

Teaching Resources

The lectures will be given using electronic means. Will be available a set of more practical exercises for students to acquire skills. All the material support classes will be loaded in the University´s e-learning.

Sustainability Objectives

Keywords

Population, sample, variable, mean, variance, probability distribution, hypothesis.

Main Bibliography