## Details

Instructor: Diego Giuliani diego.giuliani [at] unitn.it

Class hours: 18

## Contents of the Course

The course requires some minimum knowledge of statistics and probability. In the following the main concepts are listed in order to allow students to access the courses of QM with the required competencies. The listed concepts will be taken for granted and not be touched upon in the courses. Students who lack preparation should base on the following reading list and study the indicated chapters during the summer time. The attached self-assessment test allows students to understand if further preparation is needed.

Students will take an entry test in quantitative methods. Students who do not pass or sit the entry test will take the intensive course of Quantitative Methods.

It is assumed that all the students have taken a course in probability and statistics. The students are expected to know at least the basic aspects of the following topics, that will be taken for granted:

• Basic descriptive statistics

• Axioms of probability

• Conditional probability and independence

• Probability distributions

• Expectation, variance, covariance and correlation

• Some discrete random variables

• Some continuous random variables

• Sampling distributions

• Point estimation

• Interval estimation

• Hypothesis testing

## Reading list

The suggested reference book is Newbold, Carlson and Thorne, "Statistics for business and economics", 7th edition. Students should know the contents of the following chapters:

- Chap. 2 (except Chebychev's theorem)
- Sect. 5.1 to 5.3
- Sect. 6.1 to 6.2
- Sect. 7.1 to 7.2
- Sect. 9.1 to 9.2