Scuola di Economia e Management
Syllabus
Academic Year 2019/20 First Semester

Learning Objectives
The course deals with concepts, methods and techniques for analyzing data, first from a datadescriptive perspective, and then from an inferential viewpoint. The course will also provide basic ideas of probability theory to evaluate uncertainty statements. The focus is on analyzing real data, using software tools.
Learning targets
1. Demonstrate the ability to apply fundamental concepts in exploratory data analysis.
2. Demonstrate an understanding of the basic concepts of probability and random variables.
3. Understand the concept of the sampling distribution of a statistic, and in particular describe the behaviour of the sample mean.
4. Understand the foundations for classical inference involving confidence intervals and hypothesis testing.
5. Apply inferential methods relating to the means of Normal distributions.
6. Apply and interpret basic summary and modelling techniques for bivariate data and use inferential methods in the context of simple linear models with Normally distributed errors.
7. Interpret and analyse data that may be displayed in a two—way table.
8. Apply and interpret simple and multiple linear regression model: explanatory power of the model, parameter estimation, forecasting.
Course Content
– Describing data: frequency distributions, graphical representation, measures of location and spread.
– Twoway frequency tables, scatterplots, and measures of dependence (covariance, correlation coefficient).
– Probability: events, rules of probability, discrete and continuous random variables.
– Sampling and sampling distributions: sampling mean, proportion and variance.
– Inference: point estimation (statistic, main properties); confidence interval; hypothesis testing: single population and twopopulations.
– Simple and multiple linear regression model: explanatory power of the model, parameter estimation, forecasting.
Course Delivery
Course Evaluation
Syllabus
Session 0 Hours of lesson: 0 Instructor:  Topics: Università Carlo Cattaneo  LIUC School of Economics and Management BSc in Business Economics Academic year 2019/20 Statistics (8 CFU) Detailed syllabus, textbooks and examination rules
Detailed syllabus The course is structured as follows:
Textbooks P. Newbold, W. L. Carlson, B. Thorne (NCT). Statistics for Business and Economics, and Student CD, Pearson (Eighth edition – Global edition, 2013).
Examination rules The exam consists of a written general test, whose structure will be communicated in due course. Students who systematically attend the course lectures are allowed to replace the general written test with three written partial tests. After each exam session, a meeting will be held to allow students to see their exam papers. The date will be communicated together with the exam’s results. Readings: 