"G. d'Annunzio"
For the acquisition of the knowledge of the basic statistics it is absolutely necessary to have acquired the main knowledge of mathematics in advance
The course aims to provide the basic notions of statistical reasoning, commonly used in business and management.
1.Knowledge and understanding Knowledge of basic statistical concepts and related specialized terminology 2.Applying knowledge and understanding Ability to apply statistical reasoning principles in processing and interpreting company reports 3.Making judgements Learn the logical and statistical concepts that are indispensable for working autonomously in searching, selecting and elaborating corporate data and using official statistics sources. 4.Communication skills Learn basic statistical terminology and techniques to properly communicate or discuss the results of company data analysis and business reports.
The course is divided into the following points: • Collection, organization and description of data through frequency distributions, graphic representations and synthetic indices of position and variability. • Study of the relationship between two characters through double entry tables, dispersion diagrams, dependence indicators (such as covariance, the linear correlation coefficient) and linear interpolation. • Statistical inference, statistical population, sampling, sample variability and main statistics. • Theory of point and interval estimation. • Tests hypotheses with particular attention to population mean or relative frequency
Statistical data Sources
Direct and indirect survey. Survey phases. Polls Source of data of interest for management Organising the information and graphical representations
Absolute and relative frequency distributions Graphical representations of frequency distributions Categorical variables and numerical variables Cumulative distribution and its graphical representation Statistical ratios and index numbers. Position and variability indices Position indices for categorical variables Mode Median and quantiles Position indices for numerical variables Range Interquantile difference Variance and standard deviation Coefficient of variation Standardised numerical variables and linear transformations. Uses of management interest Other shape indices Comparison of different variables of interest for management, using position and variability indices. Box-plot Bivariate distributions Relations between two variables Data organisation Contingency tables, joint distribution, marginal distirbutions, conditional distributions Association and correlation between variables Association for categorical variables Chi-square related association coefficient Introduction to ontingency analysis Uses of management interest Correlation for numerical variables Graphical representations Covariance Correlation Uses of management interest Introduction to probability Historical remarks Random experiments, events and probability Set operations. Probability of intersection and union of events Conditional probability Independence between events Bayes' Theorem Total probability theorem Uses of management interest Random variables Discrete random variables and related indices Continuous random variables and related indices Cumulative distribution functions Joint distributions between discrete random variables Bernoulli, binomial and geometric distributions. Uses of management interest Uniform, exponential and normal distributions. Uses of management interest Introduction to statistical inference Basic ideas in statistical inference Sampling and sampling distributions Point estimate of population mean and proportion Interval estimate of population mean and proportion
course notes - Statistica, Principi e Metodi, G. Cicchitelli, Pearson Education, Seconda Eds - Statistica, Piccolo D., il Mulino, terza Eds, 2010 - Statistica, David M. Levine, Timothy C. Krehbiel, Mark L. Berenson, Apogeo
Lessons are held in Italian with theoretical explications of the program topics accompanied by practical examples of business interest (also in the form of group exercises or testimonials of experts). For some contents is provided teaching of computer-based calculation (using a spreadsheet and briefly introducing R language
The exam is written and verifies the learning of theories and problem-solving abilities on topics under program. The test is divided into two parts/exercises (one oriented to the theoretical conceptualization while the other to statistical data processing (exercises with commentary on the results). Note: The student has the right to support three trials from the semester in which the teaching is delivered (in this case from May to February included). Non programmable calculators are allowed.
He receives the students
Thursday 16.00-18.00
