20356 - PRECORSO DI STATISTICA / STATISTICS - PREPARATORY COURSE
Department of Decision Sciences
For the instruction language of the course see class group/s below
Course Director:
RAFFAELLA PICCARRETA
RAFFAELLA PICCARRETA
Class group/s taught in English
Suggested background knowledge
The course has not specific prerequisites
Mission & Content Summary
MISSION
The course aims to provide students with the basic knowledge of statistics and data analysis necessary to face the compulsory courses of Quantitative Methods, present in the Master M, IM, MM, GIO, PPA.
CONTENT SUMMARY
- Introduction to data sources, database, sampling.
- Description of qualitative data: classification of variables, univariate and bivariate analysis, graphical representations.
- Description of quantitative data: summary measures, outliers detection, bivariate analysis, scatter plots.
- Probability and random variables(brief notes): standard distributions
- Introduction to inferential statistics: point and interval estimation, introduction to esting theory
- Test for bivariate analysis: test of indipendence, test on the difference of means.
- Simple regression and test on the coefficients.
Intended Learning Outcomes (ILO)
KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
- Recognize different types of data.
- Understand the difference between the tools of descriptive and inferential statistics, and identify the most suitable approach for the problem at hand.
- Recognize simple statistical models.
APPLYING KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
- Properly summarize a dataset.
- Estimate and test hypotheses on the unknown parameters of a population based on sample data.
- Build simple statistical models, as regression models, to study the relationships between variables of interest.
Teaching methods
- Face-to-face lectures
DETAILS
Assessment methods
Continuous assessment | Partial exams | General exam | |
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x |
ATTENDING AND NOT ATTENDING STUDENTS
Teaching materials
ATTENDING AND NOT ATTENDING STUDENTS
Paul Newbold, William Carlson and Betty Thorne, STATISTICS FOR BUSINESS & ECONOMICS 9e, 2019
Last change 29/07/2022 15:41