The aim of the course is to provide students with the quantitative instruments for interpreting summary indicators of data describing economic, business and social phenomena, with reference to problems pertaining the Tourism and Art management. The course deals with both methodological and applied subjects, and also with subjects which are specific to the curriculum and gives the tools necessary to run quantitative analyses necessary for the courses which take place in the second term of the first year and in the second and third years of the curriculum. The ability to read and interpret data from a statistical point of view is an expertise useful to all career opportunities opened by the curriculum programme. The following learning abilities are provided: - knowledge and ability to apply correctly concepts, terms and methods of Descriptive Statistics; - ability to classify data by means of tables; - ability to summarise data by means of appropriate location and variability indices; - ability to build and interpret index numbers; - ability to study the relationships between two variables by means of association measures and regression models.
Course Prerequisites
Prerequisites Basic notions of math are required (at the level of the second year of a secondary school) to attend the course. All concepts will however be reviewed during the course.
Teaching Methods
The course is based on 30 lecture hours and 5 hours of exercises.
Other companion learning tools will be made available on the e-learning platform.
Assessment Methods
The assessment consists of a written exam. The test includes a set of questions (multiple-choice and resolution of short exercises). The duration of the exam is approximately 60 minutes.
Contents
The first part of the course deals with univariate statistical analyses while the second part focuses on bivariate statistical analysis. The final part consists in a brief introduction to the multivariate statistics.
Course Language
Italian
More information
Office hours: by arrangement via email: cristinaelisa.orso@uninsubria.it
Further information can be found on the Faculty notice board.
