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Presentation
Presentation
This course aims to provide bases in Statistical Methods for Civil Protection Engineering. At the end of the course, the student should: Master general concepts. Recognize the interest of the statistical treatment of data and results. Master some sampling techniques, recognizing and avoiding major mistakes. Organize data sets. Make adjustments to mathematical sets of bivariate data and interpret the results. Master the concept of probability and recognize some theoretical distributions. Understand the importance of statistical inference, performing point estimation and interval estimation. Know how to apply hypothesis tests and perform variance analysis. Use Excel and SPSS in the application of the above.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Bachelor | Semestral | 5
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Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
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Code
Code
ULP928-5699
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
Description of contents: General Concepts Sampling Descriptive statistics Correlation and Regression Introduction to probability theory and distributions Statistical Inference: point and interval estimation Hypothesis testing Analysis of variance
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Objectives
Objectives
It is intended that the student internalize the random nature of phenomena and the need to address data and results taking into account this aspect. The objective is to provide students with general concepts and the ability to statistically treat various data sets, managing to draw conclusions. At the same time, they should assign probabilities to some events of the day-to-day, apply some theoretical distributions in various situations and also master some tools of statistical inference, hypothesis testing and variance analysis.The student will be motivated to use Excel and SPSS to achieve these goals.
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Teaching methodologies and assessment
Teaching methodologies and assessment
In this curricular unit, methodologies such as the Flipped Classroom will be used, as well as computer tools specifically designed for the subjects taught, namely Excel and SPSS.
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References
References
Guimarães, R. C. e Cabral, J. A. S. (2007). Estatística, Editora McGraw-Hill de Portugal, Alfragide.
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Office Hours
Office Hours
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Mobility
Mobility
No
