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Course 2018-2019 a.y.

20356 - PRECORSO DI STATISTICA / STATISTICS - PREPARATORY COURSE

IM
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:
PIERO VERONESE

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

Class group/s taught in English

Class-group lessons delivered  on campus

Mission & Content Summary
MISSION

The course is meant to provide students with the basic elements of statistics and data analysis whose knowledge is required for the mandatory quantitative methods courses in Master of Science: M and MM.

CONTENT SUMMARY
  • Introduction concepts: data sources, databases, sampling theory.
  • Qualitative data: variable classification, univariate and bivariate frequency analysis.
  • Quantitative data: variable classification, univariate analysis (location, spread and shape indexes), bivariate analysis (correlation).
  • Random variables: probability and common distributions.
  • Introduction to statistical inference: point and interval estimation.
  • Introduction to statistical test: connection, means, correlation, linear regression.

Teaching materials
ATTENDING AND NOT ATTENDING STUDENTS
  • P. NEWBOLD, W. CARLSON, B. THORNE, Statistics for Business and Economics, Pearson Prentice Hall, 2009.
  • N.K. MALHOTRA, Marketing Research An Applied Orientation, Pearson Prentice Hall, 2007.
Last change 09/06/2018 22:54
 

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