SECS-S/01 - 9 CFU - 1° Semester

Teaching Staff


Learning Objectives

  1. Knowledge and understanding: The course provides basic concepts in statistics (summary statistics, probability calculus, statistical inference, linear statistical modelling). These essential tools of statistics theory are applied for data analysis in business and economics.
  2. Applying knowledge and understanding: The student has to be able to perform statistical analyses of data in business and economics, using both descriptive and inferential statistical tools, as well as linear regression models.
  3. Making judgements: The student has to be able to select the appropriate statistical tools to analyse data and draw conclusions based on the results of suitable statistical analyses.
  4. Communication skills: The student is expected to learn the technical language needed to understand/write properly a statistical report in the area of economics and business.
  5. Learning skills: Ability to understand the logic of the statistical reasoning.


Course Structure


Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus.

Detailed Course Content

Descriptive Statistics

Probability. Events. Probability. Rules for probability. Conditional events. Conditional probability. Independent events. Random variables. Association between random variables. Probability models for count data: uniform, binomial, hypergeometric, Poisson and Gaussian.

Statistical inference. Sample distributions: Student-t.

Textbook Information

1. M. Zenga - Lezioni di Statistica Descrittiva, Giappichelli, Torino, 2007

2. P. Newbold, W. L. Carlson, B. Thorne - Statistica 2/Ed., Pearson, 2010

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