Statistics Applied to Business Sciences

Quantitative methods applied to business sciences

Management Information systems

Theoretical-practical classes, as stipulated in the curriculum.

• Theoretical component: exposition of concepts and resolution of illustrative examples.
• Practical component: resolution of illustrative and complementary practical exercises of the material exposed in theoretical classes, under the guidance of the teacher, but encouraging autonomous resolution. 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 software to support statistical analysis .

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;
• sumarize

1. Descriptive statistics:

1.1. Basic concepts;

1.2. Data representation;

1.3. Statistical measures.

  2. Simple linear regression:

2.1. Correlation; simple

2.2. Linear regression model;

2.3. Straight least squares;

2.4. Prediction.

  3. Probability distributions:

3.1. Basic concepts of probability theory;

3.2. Random variables;

3.3. Parameters of distributions;

3.4. Discrete probability distributions;

3.5. Continuous probability distribution;

3.6. Central Limit Theorem.

  4. Statistical inference:

4.1. Parametric estimation: point estimation (estimation methods and estimator properties),

4.2. interval estimation of the population mean (confidence intervals construction);

4.3. hypothesis testing: fundamental notions, test architecture, parametric tests (a population).

NAO

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

Main

• Curto, J.D. (2019). Potenciar os Negócios? A Estatística Dá uma Ajuda! (Muitas Aplicações em Excel e poucas fórmulas…), 3.ª Edição. Edição do Autor

Additional

• Albright, S.C., Winston, W.L. (2019). Business Analytics: Data Analysis and Decision Making, 7th Edition. Cengage Learning.
• Alwan, L.C., Craig, B.A., McCabe, G.P. (2020). The Practice of Statistics for Business and Economics, 5th Edition. MacMilan.
• Evans, J.R. (2020). Business Analytics, 3rd Edition. Pearson.
• Murteira, B., Ribeiro, C.S., Silva, J.A., Pimenta, C., Pimenta, F. (2023). Introdução à Estatística, 4.ª Edição. Escolar