|1||Undergraduate||Business Sciences||6 ects|
|Learning Period:||Language of Instruction:||Total Hours:|
|Learning Outcomes of the Curricular Unit:|
|This unit 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.|
|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. Probability Distribution Function and Cumulative Distribution Function for Univariate Discrete and Continuous Variables. 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 subject of an expository methodology, descriptive and demonstrative within lecture and tutorial lessons, using the resolution of practical situations to provide the implementation of the syllabus.|
The assessment is done continuously. For this purpose: realization of 2 tests and a class-question (oral) The 1st test focuses on program contents 1, 2 and 3 (with a 50% weight), the 2nd test is relative to other program contents (4, 5 and 6) with a weight of 45% and the class-question will have a weight of 5%.
|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.|
| Fernando, M. (2009). Statistics for Business and Economics. Marcelo Fernandes & Ventus Publishing. Bookboon.com.|
 Jonsson, R. (2014). Exercises in Statistical Inference. 1ª Edição. Robert Jonsson & Ventus Publishing. Bookboon.
 Keller, G. (2005). Statistics for Management and Economics. Thomson.
 Reis, E. (2008). Estatística Descritiva. 7ª Edição. Edições Sílabo.
 Reis, E.; Melo, P; Andrade, R e Calapez, T. (2015). Estatística Aplicada – vol. 1. 6ª Edição. Edições Sílabo.
 Reis, E.; Melo, P; Andrade, R e Calapez, T. (2018). Estatística Aplicada – vol. 2. 6ª Edição. Edições Sílabo.