| Code |
15790
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| Year |
1
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| Semester |
S1
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| ECTS Credits |
6
|
| Workload |
T(15H)/TP(30H)
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| Scientific area |
Mathematics
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|
Entry requirements |
---
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Learning outcomes |
At the end of the curricular unit, the student should be able to:
1 - Understand and apply statistical methods in the analysis of the different types of data.
2 - Use the program SPSS in the statistical analysis of data.
3 - Produce and organize the results of a statistical analysis of data.
4 - Analyze and criticize studies and/ or articles in the textile engineering area that satisfy the learning outcomes.
5- Identify the probabilistic models, their properties, and their applications to textile engineering.
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Syllabus |
Chapter I) Descriptive Statistics
-Population/sample;
-Variable Classification and measure scales.
-Creation of databases in SPSS;
- Frequency tables of unidimensional/ bidimensional variables;
-Graphic representations;
- Measures of central tendency, dispersion, skewness, and kurtosis;
Chapter II) Correlation and Simple Linear Regression
- Pearson Correlation coefficient;
-Scatter Plot;
-Linear Regression;
Chapter III) Probabilities theory;
--random experiments, sample spaces, events;
--Axiomatic definition of Probability and respective properties;
--conditional probability;
-Random variables (discrete/continuous);
- distribution function and probability function (probability density function);
-Expected value and variance of a random variable;
-Binomial distribution;
-Poisson distribution;
-Normal distribution.
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Main Bibliography |
1 - J.R. Nagla, Statistics for textile engineers, Woodhead Publishing India (2014)
2 - João Maroco, Análise Estatística com o SPSS Statistics (2021)
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Language |
Portuguese. Tutorial support is available in English.
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