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Teaching GuideTerm Faculty of Economics and Business |
| Grao en Administración e Dirección de Empresas |
 Subjects |
| Statistics I |
| Contents |
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| Identifying Data | 2023/24 | |||||||||||||
| Subject | Statistics I | Code | 611G02006 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
First | Basic training | 6 | ||||||||||
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| Topic | Sub-topic |
| LESSON 1: ONE-DIMENSIONAL FREQUENCY DISTRIBUTIONS | 1.1. Statistics: concept and contents 1.2. The statistical analysis 1.3. Frequency distribution: concept and graphs 1.4. Moments in one-dimensional distributions 1.5. Measures of central tendency and position 1.6. Measures of dispersion or variability 1.7. Measures of shape 1.8. Outliers: detection and effects |
| LESSON 2: TWO-DIMENSIONAL FREQUENCY DISTRIBUTIONS | 2.1. Two-dimensional frequency distributions 2.2. Moments in two-dimensional distributions 2.3. Regression and correlation |
| LESSON 3: TIME SERIES | 3.1. Time series: concept and graphs 3.2. Decomposition of a time series: components and scheme 3.3. Trend analysis 3.4. Seasonality analysis. Seasonally adjusted time series 3.5. Variation rates analysis in a time series context |
| LESSON 4: INDEX NUMBERS | 4.1. Introduction 4.2. Composite indexes 4.3. Application of index numbers 4.4. Main indexes in the Spanish economy |
| LESSON 5: INTRODUCTION TO PROBABILITY CALCULUS | 5.1. Deterministic phenomena and random phenomena 5.2. Probability: definition and postulates 5.3. Conditional probability. Independence of events 5.4. Probability theorems |
| LESSON 6: ONE-DIMENSIONAL RANDOM VARIABLE | 6.1. One-dimensional random variable 6.2. Discrete random variables: probability distribution function and cumulative probability distribution 6.3. Continuous random variables: density functions and cumulative distribution 6.4. Characteristics of one-dimensional random variables |
| LESSON 7: RANDOM VARIABLES: MAIN DISTRIBUTIONS | 7.1. Bernoulli distribution 7.2. Binomial distribution 7.3. Poisson distribution 7.4. Uniform distribution 7.5. Normal distribution 7.6. Distributions derived from the Normal distribution |
| LESSON 8: CONVERGENCE AND CENTRAL LIMIT THEOREM | 8.1. Convergence in probability 8.2. Convergence in distribution 8.3. Central Limit Theorem |
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