---
product_id: 192892753
title: "By Joseph F. Hair, William C. Black, Barry J. Babin, Rolph E. Anderson: Multivariate Data Analysis (7th Edition) Seventh (7th) Edition"
price: "128144CFA"
currency: XOF
in_stock: true
reviews_count: 13
url: https://www.desertcart.sn/products/192892753-by-joseph-f-hair-william-c-black-barry-j-babin
store_origin: SN
region: Senegal
---

# By Joseph F. Hair, William C. Black, Barry J. Babin, Rolph E. Anderson: Multivariate Data Analysis (7th Edition) Seventh (7th) Edition

**Price:** 128144CFA
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** By Joseph F. Hair, William C. Black, Barry J. Babin, Rolph E. Anderson: Multivariate Data Analysis (7th Edition) Seventh (7th) Edition
- **How much does it cost?** 128144CFA with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.sn](https://www.desertcart.sn/products/192892753-by-joseph-f-hair-william-c-black-barry-j-babin)

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## Description

desertcart.com: By Joseph F. Hair, William C. Black, Barry J. Babin, Rolph E. Anderson: Multivariate Data Analysis (7th Edition) Seventh (7th) Edition: Joseph F. Hair Jr., William C. Black, Barry J. Babin: Books

Review: THE BEST REFERENCE FOR PHD STUDENT.....YOU ALL SHOULD HAVE ONE... - Multivariate data analysis is a central tool whenever several variables need to be considered at the same time. The present book explains a powerful and versatile way to analyse data tables, suitable also for researchers without formal training in statistics. The analysis of multivariate data requires the extension of standard univariate statistical models and methods but also introduces new problems. Initial attention is given to Data Mining techniques such as summarising and displaying high dimensional data and to ways of reducing multivariate problems to more manageable univariate ones. This is followed by routine generalisations of standard distributions and statistical tests before consideration of new strategies for constructing hypothesis tests. Finally, problems specific to multivariate data such as discrimination and classification (use in medical diagnosis problems for example) are studied. Most of these methods can be implemented in standard computer packages. This book shows that multivariate analysis are: - Design for capability (also known as capability-based design) - Inverse design, where any variable can be treated as an independent variable - Analysis of Alternatives (A0A), the selection of concepts to fulfill a customer need - Analysis of concepts with respect to changing scenarios - Identification of critical design drivers and correlations across hierarchical levels. Thank you to Joseph F. Hair, Ronald L. Tatham, Rolph E. Anderson, William Black for their excellent job..make my research so easy. Every Phd should have this book.
Review: The BEST stats book anywhere - This is my all time favorite stats book. It's very easy to read and yet is authoritative and comprehensive. The book is designed to promote a real understanding of the topic. Each chapter includes: glossary and quick overview at the beginning of the chapter, to orient the reader to the chapter; description of the theory; an application; example of programming code; summary. The writing style is clear and easy to follow. I first read this book in graduate school. I still turn to it as a refresher. If I could own only one multivariate book, this would be it.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN  | B005DUK6LU |
| Best Sellers Rank | #2,895,728 in Books ( See Top 100 in Books ) #143,761 in Textbooks (Special Features Stores) |
| Customer Reviews | 4.3 4.3 out of 5 stars (120) |
| Edition  | 7th |
| Item Weight  | 3.19 pounds |
| Language  | English |
| Print length  | 785 pages |
| Publication date  | January 1, 2010 |
| Publisher  | Pearson Education, Inc. |

## Images

![By Joseph F. Hair, William C. Black, Barry J. Babin, Rolph E. Anderson: Multivariate Data Analysis (7th Edition) Seventh (7th) Edition - Image 1](https://m.media-amazon.com/images/I/41CQy5gbizL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ THE BEST REFERENCE FOR PHD STUDENT.....YOU ALL SHOULD HAVE ONE...
*by A***D on August 5, 2010*

Multivariate data analysis is a central tool whenever several variables need to be considered at the same time. The present book explains a powerful and versatile way to analyse data tables, suitable also for researchers without formal training in statistics. The analysis of multivariate data requires the extension of standard univariate statistical models and methods but also introduces new problems. Initial attention is given to Data Mining techniques such as summarising and displaying high dimensional data and to ways of reducing multivariate problems to more manageable univariate ones. This is followed by routine generalisations of standard distributions and statistical tests before consideration of new strategies for constructing hypothesis tests. Finally, problems specific to multivariate data such as discrimination and classification (use in medical diagnosis problems for example) are studied. Most of these methods can be implemented in standard computer packages. This book shows that multivariate analysis are: - Design for capability (also known as capability-based design) - Inverse design, where any variable can be treated as an independent variable - Analysis of Alternatives (A0A), the selection of concepts to fulfill a customer need - Analysis of concepts with respect to changing scenarios - Identification of critical design drivers and correlations across hierarchical levels. Thank you to Joseph F. Hair, Ronald L. Tatham, Rolph E. Anderson, William Black for their excellent job..make my research so easy. Every Phd should have this book.

### ⭐⭐⭐⭐⭐ The BEST stats book anywhere
*by S***L on January 1, 2010*

This is my all time favorite stats book. It's very easy to read and yet is authoritative and comprehensive. The book is designed to promote a real understanding of the topic. Each chapter includes: glossary and quick overview at the beginning of the chapter, to orient the reader to the chapter; description of the theory; an application; example of programming code; summary. The writing style is clear and easy to follow. I first read this book in graduate school. I still turn to it as a refresher. If I could own only one multivariate book, this would be it.

### ⭐⭐⭐⭐⭐ Easily the best statistics book I've ever read
*by R***Y on September 26, 2012*

I purchased this book as a textbook for a course in statistics. I have to say that this is hands-down the best statistics book I've ever read and the only one out of the pile of books I've purchased that I'm keeping as a reference. There is so much focus on how to choose the correct methods based on the types of data that you're working with - it's refreshing to read a book that's less focused on the math and more focused on the real-world applications.

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*Last updated: 2026-02-01*