Statistics Applied to Business Sciences

Math A or Math B

Theoretical-practical classes, as stipulated in the curriculum.

• Theoretical component: an exposition of concepts and resolution of illustrative examples.
• Practical component: the resolution of illustrative and complementary practical exercises of the material exposed in theoretical classes, under the teacher’s guidance, but encouraging autonomous resolution and sometimes using statistical software.

General objectives

• Ability to explore data using numerical and graphical methods, to identify its most relevant aspects, with application in the area of Management and Economics;
• Know the probabilistic models that constitute the bases of statistical inference and decision making;
• Initiation and use of statistical software.

Specific c objectives

• Know the techniques of descriptive statistical analysis (exploratory), in order to characterize a sample;
• Analyse the relationship between variables (two);
• Know and use inferential statistics techniques.

Generic skills

Capacity of:

• analysis and synthesis;
• oral and written communication;
• computing;
• problem-solving in real context

Specific skills

Capacity of:

• develop logical and deductive reasoning;
• use intuition to solve problems;
• use graphical representations to interpret results;
• summarize

Chapter 1 – Descriptive statistics:

• Basic concepts; data representation; statistical measures.

Chapter 2 – Simple linear regression:

• Correlation; simple linear regression model; straight least squares.

Chapter 3 – Probability distributions:

• Discrete probability distributions: Binomial and Poisson;
• Continuous probability distribution: Normal;
• Central Limit Theorem.

Chapter 4 – Statistical inference:

• Parametric estimation: point estimation, interval estimation of the population mean;
• Parametric hypothesis testing: a population.

NAO

It will be available at NONIO all the theoretical texts used in classes, as well as practical sheets.

MAIN:

Reis, E., P. Melo, R. Andrade & T. Calapez (2015) Estatística Aplicada (Vol. 1), 6ª ed., Lisboa: Sílabo

Reis, E., P. Melo, R. Andrade & T. Calapez (2016) Estatística Aplicada (Vol. 2), 5ª ed., Lisboa: Sílabo.

Curto, J.D. (2016) Estatística: muitas aplicações em Excel e poucas fórmulas . Edição do Autor.

COMPLEMENTARY:

Murteira, B., Ribeiro, C.S., Silva, J.A., Pimenta, C., Pimenta, F. (2015) Introdução à Estatística , 3.ºEdição. Escolar Editora.

Hogg, R. V., Tanis, E.A. & Zimmerman, D.L. (2015) Probability and Statistical Inference, 9th ed., NJ:Pearson. ISBN 978-0-321-92327-1

Newbold, P., Carlson, W., Thorne, B. (2012) Statistics for Business and Economics , 8th Edition.Pearson.

Webster, A. (2006) Estatística Aplicada à Administração e Economia. McGraw-Hill.