logo-home
book image
  • ISBN
  • Author(s)
  • Language
  • Publisher
  • Edition
  • Edition

Multivariate Data Analysis: Pearson International Edition notes (7th edition)

J. Hair, William C. Black - ISBN: 9781292021904

  • ISBN
  • Author(s)
  • Language
  • Publisher
  • Edition
  • Edition

View all 30 notes for Multivariate Data Analysis: Pearson International Edition, written by J. Hair, William C. Black. All Multivariate Data Analysis: Pearson International Edition notes, flashcards, summaries and study guides are written by your fellow students or tutors. Get yourself a Multivariate Data Analysis: Pearson International Edition summary or other study material that matches your study style perfectly, and studying will be a breeze.

Why study with the book summaries on Stuvia?

girl_laptop_stairs

Relevance, efficiency and convenience. These are important elements when studying or preparing for a course or exam. Studying with the help of book summaries, which are linked to the ISBN number of your (study) book, is more relevant than ever. Your fellow students or tutors are sharing their knowledge to help you prepare for your exams. Find the ISBN number of your book and you'll be sure to buy the right summary. That way you won't be faced with surprises during your exams.

boy_beanie

All summaries on Stuvia are written by students who have already taken the exam, lecturers who teach the study material or professional publishers. As a result, you can be confident that you will understand the course material more easily and that the summary contains all elements that are tested in the exam. Find the book you need to study by its ISBN and choose the best textbook summary.

Summary Multivariate Data Analysis: Pearson International Edition

For graduate and upper-level undergraduate marketing research courses. For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this seventh revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.