2024
Statistics Applied to Management I
Name: Statistics Applied to Management I
Code: MAT02324L
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Mathematics
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Regime de Frequência: Presencial
Presentation
Introduction to the basic concepts of statistics and probabilities: descriptive statistics, probability, probability distributions, estimation, confidence intervals and hypothesis testing.
Sustainable Development Goals
Learning Goals
OBJECTIVES:
Student's acquisition of main concepts and techniques on Descriptive Statistics, Probabilities and Inferential Statistics. To use illustrative examples, related to Management and Business Administration, for the decision making process. To aid student's understanding and interpreting computer outputs from basic and commonly used statistical software.
COMPETENCES:
* Students should be able to collect, describe, represent and critically analyze a given dataset.
* Student's acquisition of basic probabilistic and statistical concepts.
* To choose and apply appropriate statistical tools aimed to the decision making process accounting for uncertainty.
* To use different estimation techniques.
* To incentive autonomous learning facing and adapting to new different situations.
* To develop critical thinking and appropriate use of statistical software.
Student's acquisition of main concepts and techniques on Descriptive Statistics, Probabilities and Inferential Statistics. To use illustrative examples, related to Management and Business Administration, for the decision making process. To aid student's understanding and interpreting computer outputs from basic and commonly used statistical software.
COMPETENCES:
* Students should be able to collect, describe, represent and critically analyze a given dataset.
* Student's acquisition of basic probabilistic and statistical concepts.
* To choose and apply appropriate statistical tools aimed to the decision making process accounting for uncertainty.
* To use different estimation techniques.
* To incentive autonomous learning facing and adapting to new different situations.
* To develop critical thinking and appropriate use of statistical software.
Contents
* Descriptive statistics: tabular and graphical representation, and summary measures.
* Probabilities (reviews)
* Random variables.
* Main probability distributions.
* Introduction to sampling.
* Point Estimation and Confidence Intervals.
* Hypothesis testing.
* Probabilities (reviews)
* Random variables.
* Main probability distributions.
* Introduction to sampling.
* Point Estimation and Confidence Intervals.
* Hypothesis testing.
Teaching Methods
* Theoretical-practical lessons mainly lectured with a blackboard, with e-learning tools and transparencies.
* Introduction of the theoretical concepts using practical examples and trying to show the relevance of the contents in the main area of application.
* To stimulate individual and group participation within the classroom with relevant examples.
* Introduction of the theoretical concepts using practical examples and trying to show the relevance of the contents in the main area of application.
* To stimulate individual and group participation within the classroom with relevant examples.
Assessment
Evaluation methods: To privilege continued evaluation using 2 mid-terms (40% each) and 2 with mini works (10% each) to be solved with computational assistance, usually Excel, with minimum approval grades. In the regime of exam the students have to do a single exam comprising a written part and another with computer assistance (100%).
Teaching Staff
- Anabela Cristina Cavaco Ferreira Afonso [responsible]
Certificações
