STATISTICS - 1
|Academic year||2018/2019 Syllabus of previous years|
|Official course title||STATISTICA - 1|
|Course code||ET0060 (AF:258019 AR:151231)|
|Modality||On campus classes|
|ECTS credits||6 out of 12 of STATISTICS|
|Degree level||Bachelor's Degree Programme|
|Educational sector code||SECS-S/01|
|Spazio Moodle||Link allo spazio del corso|
The aim of the course is to provide the basic knowledge of descriptive statistics, probability theory and inferential statistics to develop skills that allow them to structure, process and analyze data in order to describe and make inference in problems characterized by uncertainty such as in economics, finance, quality control and marketing.
1. Knowledge and understanding
- know the terminology and basic concepts of descriptive and inferential statistics for business phenomena;
- know the basic notion of probability theory;
- understand the strengths and limitations of the statistical approaches used to analyze business phenomena.
2. Ability to apply knowledge and understanding
- know how to determine the best statistical methods for the analysis of real phenomena;
- understand the main aspects of the descriptive and inferential statistical analyses;
- know how to apply the main probabilistic models to business.
3. Making judgements
- be able to critically assess under which circumstances the analyses are reliable;
- be able to assess the goodness of the achieved results.
4. (Lifelong) learning skills
- be able to critically consult reference books and online material in the fields of statistics and analysis of data for business phenomena.
1. Data analysis.
3. Random variables and probability distributions.
4. Sample statistics.
6. Testing statistical hypotheses.
7. Linear regression
To support the theoretical knowledges acquired during the course, each topic will be presented by using business examples.
Anderson, D. R., Sweeney, D., Williams, T. (2014). Statistica per le analisi economico-aziendali, Apogeo.
Ross S. M. (2008). Introduzione alla Statistica, Apogeo.
Levine D. M.; Krehbiel T. C.; Berenson M. L. (2010 o 2014). Statistica, Pearson.
Other reading material suggested by the teacher during the course.
In particular, the exam consists of a written test of about 1 hour and 30 minutes composed of exercises in sufficient numbers to verify the understanding of the program and each with its own score.
Exercises similar to those of the final exam will be proposed during both the theoretical lessons and the exercise lessons.
During the exam students will not be allowed to consult books or notes, but will be allowed to use a pocket calculator and any material provided in advance by the teacher.
Written exam could be followed by oral discussion when required.
Ten exercise lessons are provided to study in deep the topics of the course.