HarperCollins College Outline Introduction to Statistics

by Susan F. Wagner

Prepared for students by renowned professors and noted experts, here are the most extensive and proven study aids available, covering all the major areas of study in college curriculums. Each guide... This description may be from another edition of this product.

• Format: Paperback
• Language: English
• ISBN: 0064671348
• ISBN13: 9780064671347
• Release Date: March 1992
• Publisher: Collins Reference
• Length: 384 Pages
• Weight: 1.20 lbs.
• Dimensions: 1.0" x 7.4" x 9.3"

Customer Reviews

Excellent

As its name suggests, this is an introductory text to statistics. It covers a wide variety of topics up to and including linear regression and some basic nonparametric tests, but does not deal with more advanced techniques such as logistic regression.It is superbly written! This is undoubtedly the clearest, easiset to undestand, and easiest to remember statistics book I've ever read, by a big margin. It is one of those all-too-rare books that allows you not just to learn the facts, and learn when to apply them, but to actually get a deeper understanding of how the different concepts in statistics fit together. If you're new to statistics and want a clear and easy-to-follow introduction, or even if you're a seasoned user of statistics who nevertheless feel that you would like to get a more intuitive grasp of some of the underlying concepts, this is the book for you. Very highly recommended.

excellent introduction to statistics

Even though I am not the student in field of mathematics, especilly statistics, "INTRODUCTION TO STATISTICS" was very useful to me who am a student in computer engineering and especaily whoes first language is not English.

A good, solid review of probability and statistics basics.

This book is an excellent mind-jogger for those of you that have forgotten some of the basics. It is written in plain english, not statistical-ese, and covers the following subjects: review of mathematics for statistics, organizing data, measures of central tendency and dispersion, probability and probability distributions, sampling theory, large-sample and small-sample inferential statistics, binomial proportion, analysis of variance, chi-square tests, linear regression, and some nonparametric tests. While it does not go into advanced techniques such as multiple regression, logistic regression, survival analysese, and others, it does comprehensively review the basic statistical tests needed to understand the higher order methods. A good reference guide.