STATISTICS
(objectives)
Statistics is a compulsory course aimed at introducing the basic techniques for the analysis of statistical data. Topics taught include displaying and describing data, basic probability theory and statistical inference. Attention will be focused on applications to business and economics. At the end of the course, the student will have: - become familiar with the main concepts and methods of descriptive statistical analysis, probability and inference; - acquired a theoretical understanding of statistical techniques and an appropriate critical sense in choosing the most suitable indicators and techniques for the analysis of data sets with specific characteristics; - developed the ability to analyse real data sets by choosing the most appropriate technique, applying it and interpreting the results.
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Code
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21210113 |
Language
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ITA |
Type of certificate
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Profit certificate
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Credits
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10
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Scientific Disciplinary Sector Code
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SECS-S/01
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Contact Hours
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66
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Type of Activity
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Core compulsory activities
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Group: A - C
Derived from
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21210113 STATISTICS in Economics and business administration L-18 A - C FORTUNA FRANCESCA
(syllabus)
Descriptive statistics: variables and their measurement, univariate distributions, describing data with tables and graphs, measures of position, variability. Bivariate descriptive statistics: independence, association, correlation, probability distributions for discrete and continuous variables, sampling distributions Inference: estimation, hypothesis test, regression
(reference books)
A. Agresti, B. Finlay. Statistical methods for the social sciences. Pearson International Edition-4th edition (2009)
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Dates of beginning and end of teaching activities
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From 01/03/2023 to 31/05/2023 |
Delivery mode
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Traditional
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Attendance
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not mandatory
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Evaluation methods
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Written test
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Group: D - K
Derived from
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21210113 STATISTICS in Economics and business administration L-18 A - C FORTUNA FRANCESCA
(syllabus)
Descriptive statistics: variables and their measurement, univariate distributions, describing data with tables and graphs, measures of position, variability. Bivariate descriptive statistics: independence, association, correlation, probability distributions for discrete and continuous variables, sampling distributions Inference: estimation, hypothesis test, regression
(reference books)
A. Agresti, B. Finlay. Statistical methods for the social sciences. Pearson International Edition-4th edition (2009)
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Dates of beginning and end of teaching activities
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From 01/03/2023 to 31/05/2023 |
Delivery mode
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Traditional
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Attendance
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not mandatory
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Evaluation methods
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Written test
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