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Single discipline educational activity
Course Sheet Academic Year of enrolment:
Professor and Collaborators:
Hours of classroom activity:
Prerequisites:
For the acquisition of the knowledge of the basic statistics it is absolutely necessary to have acquired the main knowledge of mathematics in advance
Objectives
Contents 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 random variables.
Extended Syllabus 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 .
Recommended Bibliography course notes
Statistica Teorie e Metodi
G.Cicchitelli
P.D'Urso
M. Minozzo
Pearson Editore -2017
Methods of Provision
Teaching Methods 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
Evaluation methods Verification of learning:
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.
Contacts/More Information The teacher receives the students
Wednesday 16-18
Thursday 16-18