Curricular Unit:			Code:
Statistics			987EST
Year:	Level:	Course:	Credits:
1	Undergraduate	Business Sciences	6 ects
Learning Period:		Language of Instruction:	Total Hours:
		Portuguese/English	78
Learning Outcomes of the Curricular Unit:
Ability to calculate statistics and distinguish them from parameters; Ability to properly characterize data sets (sample or population) and make their correct interpretation; Ability to identify associations between variables that can support basic relationships to forecasting models. Ability to identify and use specific models of probability distributions; Ability to use statistical inference tools: confidence intervals. This course aims the introduction and development of statistical analysis techniques in a scientific approach. It focuses the comprehension of their importance, utility and modeling capacity, improving the critical and analytical judgment of data and data synthesis that conducts to conclusions within given intervals of confidence.
Syllabus:
CP1. Basic Concepts. CP2. Descriptive Statistics: Frequency Distributions; Measures of central tendency and partition measures ; Measures of Dispersion and concentration. Measures of asymmetry and kurtosis. CP3. Association between variables. CP4. Basics of Probability. CP5. Random Variables and Theoretical Probability Distributions. CP6.Confidence Intervals.
Demonstration of the Syllabus Coherence with the Curricular Unit's Objectives:
CP1., CP2. and CP3. Objectives: Ability to calculate statistics and distinguish them from parameters; Ability to properly characterize the data set (sample or population) and make their correct interpretation; CP4. and CP5. Objective: Ability to identify and use specific models of probability distributions; CP6. Objective: Ability to use statistical inference tools: confidence intervals.
Teaching Methodologies (Including Evaluation):
This unit will be the target of an expository, descriptive and demonstrative methodology within the scope of theoretical-practical classes, resorting to the resolution of practical situations that allow the application of the syllabus contents. Knowledge assessment is carried out continuously, with two tests weighing 50% each. Test # 1 assesses PC1 .; PC2. and PC3. and Test # 2 evaluates the PC4 .; PC5. and PC6.
Demonstration of the Coherence between the Teaching Methodologies and the Learning Outcomes:
Given the essentially practical nature of that course all exposed concepts are applied to the resource to solve a number of exercises. This methodology allows to achieve the specific goals listed in each chapter of the that course program.
Reading:
[1] Fernando, M. (2009). Statistics for Business and Economics. Marcelo Fernandes & Ventus Publishing. Bookboon.com. [2] Jonsson, R. (2014). Exercises in Statistical Inference. 1ª Edição. Robert Jonsson & Ventus Publishing. Bookboon. [3] Keller, G. (2005). Statistics for Management and Economics. Thomson. [4] Reis, E. (2008). Estatística Descritiva. 7ª Edição. Edições Sílabo. [5] Reis, E.; Melo, P; Andrade, R e Calapez, T. (2021). Estatística Aplicada – vol. 1. 7ª Edição. Edições Sílabo. [6] Reis, E.; Melo, P; Andrade, R e Calapez, T. (2019). Estatística Aplicada – vol. 2. 6ª Edição. Edições Sílabo. [7] Reis, E.; Melo, P; Andrade, R e Calapez, T. (2021). Exercícios de Estatística Aplicada – vol. 1. 3ª Edição. Edições Sílabo. [8] Reis, E.; Melo, P; Andrade, R e Calapez, T. (2021). Exercícios de Estatística Aplicada – vol. 2. 3ª Edição. Edições Sílabo.