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Teaching GuideTerm Faculty of Humanities |
| Grao en Xestión Industrial da Moda |
 Subjects |
| Fundamentals of Mathematics and Data Analysis Tools |
| Contents |
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| Identifying Data | 2020/21 | |||||||||||||
| Subject | Fundamentals of Mathematics and Data Analysis Tools | Code | 710G03014 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Second | Basic training | 6 | ||||||||||
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| Topic | Sub-topic |
| Descriptive statistics of a variable and introduction to the use statistical software. | Basic concepts of descriptive statistics. Characteristics measures of position, dispersion and shape. Graphics. Introduction to R statistical software. |
| Descriptive statistics of more than one variable. |
Measures of association and correlation. Graphics for two or more variables. Linear regression. Unsupervised classification (cluster). |
| Probability |
Experiments and events. Probability definition and properties. Conditioned robability. Total probability and Bayes theorem. |
| Random variables. |
Discrete random variables. Continuous random variables. |
| Main probability distributions. |
Binomial distribution. Negative binomial distribution. Hypergeometric distribution. Poisson distribution. Uniform distribution Normal distribution. Exponential distribution Distributions associated with the normal. |
| Statistical inference. |
Point estimates. Confidence intervals. Hypothesis testing. Inference in linear regression models. |
| Basic techniques of statistical quality control. |
Basic concepts. Six Sigma Methodology Ishikawa's diagram. Pareto chart. Control charts Process capacity analysis. |
| Time series. |
Definition. Components Estimation and prediction. |
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