Analyse des données: Résumé de cours avec exercices d’application

Data analysis: course summary with case studies

Mohamed Ali Trabelsi

MPRA Paper from University Library of Munich, Germany

Abstract: This book aims to discover the main techniques of data analysis through numerous examples and application exercises. It is intended for students of Bachelor, Master or Doctorate in Marketing and Management of Business Schools and Management. It is organized around the key steps of a data analysis: the definition of the problem, the description of the data, the writing of the questionnaire and the choice of the sample, in order to carry out the tests appropriate to the nature of the collected data. and the objectives of the study. The book includes several illustrative examples and applications on descriptive statistics, non-parametric tests, principal component analysis and factorial correspondence analysis.

Keywords: Data analysis; principal component analysis; Factorial correspondence analysis. (search for similar items in EconPapers)
JEL-codes: C02 C55 C8 (search for similar items in EconPapers)
Date: 2016-05-03, Revised 2016-05-03
References: View complete reference list from CitEc
Citations:

Published in Editions Universitaires Européennes ISBN: 978-3-639-52294-5 (2016): pp. 1-43

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/82947/1/MPRA_paper_82947.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:82947

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().