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Course 2022-2023 a.y.

20356 - PRECORSO DI STATISTICA / STATISTICS - PREPARATORY COURSE

Department of Decision Sciences

For the instruction language of the course see class group/s below

Go to class group/s: 1

IM (I sem. - P)
Course Director:
RAFFAELLA PICCARRETA

Classes: 1 (I sem.)
Instructors:
Class 1: ALBERTO SACCARDI

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
  • There is no formal assessment for this course
  • 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 16:15