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Applied Statistics

Applied Statistics

Code	17587
Year	3
Semester	S1
ECTS Credits	5
Workload	TP(45H)
Scientific area	Mathematics
Entry requirements	NA
Learning outcomes	At the conclusion of the Course Unit the student must have acquired the following learning outcomes: • Understand the fundamental concepts of probability theory, descriptive statistic and inferential statistic; • Show the importance and utility of the theory of probabilities to solve real-life problems; • Acquire skills to use the statistic in solving practical problems and to comment the results obtained through the data analysis; • Acquire the ability to use a software to solve problems in the context of Sport Sciences; • Interpret and analyze the sports results presented by organizations that develop physical activity; • Demonstrate ability to select, formulate and apply the contents of exploratory data analysis in the analysis of sports data.
Syllabus	I - Descriptive Statistics: Organization and representation of data Measures of central tendency and dispersion II - Introduction to Probability: Concepts of probability Conditional Probability and Independence Law of Total Probability and Bayes’ Theorem III - Random Variables (R.V.) and their probability distributions: Discrete and continuous R.V. Characterization of some discrete and continuous probability distributions Central Limit Theorem and its applications IV - Introduction to Statistical Inference: Sampling distributions Confidence intervals for one mean and difference of means, one proportion and difference of proportions Fundamental concepts of a hypothesis test (critical region; type I and II errors; test power; p-value) Hypothesis tests for one mean and difference of means, one proportion and difference of proportions V - Correlation and Simple Regression: Correlation and determination coefficients Estimation of regression coefficients (LSM)
Main Bibliography	• Agresti, A. & Finlay, B. (2009). Statistical Methods for the Social Science, 4th ed. New Jersey: Pearson Prentice Hall. • Guimarães, R.C. & Sarsfield Cabral, J.A. (2010). Estatística, 2ª ed. Verlag Dashöfer. • Maroco, J. (2014). Análise Estatística com utilização do SPSS Statistics, 6ª ed.. Edições Sílabo. • Murteira, B. & Antunes, M. (2012). Probabilidades e Estatística. Volumes I e II. Escolar Editora. • Murteira, B., Ribeiro, C.S., Silva, J.A. & Pimenta, C. (2015). Introdução à Estatística, 3ª ed. Escolar Editora. • Pestana, M.H., & Gageiro, J.N. (2014). Análise de dados para Ciências Sociais - A complementaridade do SPSS. 6th Ed. Lisboa: Edições Sílabo. • Robalo, A. (2003). Estatística:Exercícios, 5ª ed. Volumes I e II. Edições Sílabo. • Vincent, W. & Weir J. (2012). Statistics in Kinesiology, 4th ed. Human Kinetics Publishers.
Language	Portuguese. Tutorial support is available in English.