The aim of the course is introducing students to statistical literacy, i.e. the ability to correctly understand and use data and statistical information with special reference to business and economics data. 

Students are expected to acquire knowledge of descriptive statistics such as central values (mean, geometric mean, mode, quantiles), measures of variability (variance, standard deviation), graphical representations (barplot, pie chart, scatterplot, boxplot); some knowledge of probability and a focus on the most common discrete and continuous random variables (discrete uniform, binomial, poisson, hypergeometric, uniform, normal, exponential); basic knowledge of the statistical inference, with a special focus on interval estimation and test of hypothesis for the mean of one normal population and for one population proportion; interval estimation and test of hypothesis about means and proportions with two populations; basic knowledge and inferences for the ANOVA and for the simple and multiple linear regression model.

In a written exam, the student must demonstrate his/her knowledge of the course material and to be able to solve exercises of descriptive and inferential statistics.

 On successful completion of this course, students will acquire interpretation abilities and critical skills for evaluating statistical information, and the capability to produce and analyse statistical data.

During the final exam, the ability to apply the basic statistical methods learned during the course will be evaluated.

Students will be able to develop sensitivity to statistical reasoning and issues related to the use of statistical data (production, analysis and interpretation), with a special reference to business data.

Part of the final exam is designed to verify the sensitivity to statistical reasoning and general issues related to the use of statistical data.