Practice Makes Perfect - Statistics (gnv64)

Practice Makes Perfect - Statistics
by Sandra McCune
McGraw-Hill | July 2010 | ISBN-10: 0071638180 | ePUB | 21.6 mb
http://www.amazon.com/Practice-Makes-Perfect-Statistics-McGraw-Hill/dp/0071638180

A no-nonsense practical guide to statistics, providing concise summaries, clear model examples, and plenty of practice, making this workbook the ideal complement to class study or self-study, preparation for exams or a brush-up on rusty skills.
Established as a successful practical workbook series with over 20 titles in the language learning category, Practice Makes Perfect now provides the same clear, concise approach and extensive exercises to key fields within mathematics. The key to the Practice Makes Perfect series is the extensive exercises that provide learners with all the practice they need for mastery.
- Not focused on any particular test or exam, but complementary to most statistics curricula
- Deliberately all-encompassing approach: international perspective and balance between traditional and newer approaches.
- Large trim allows clear presentation of worked problems, exercises, and explained answers.

Features
- No-nonsense approach: provides clear presentation of content.
- Over 500 exercises and answers covering all aspects of statistics
- Successful series: "Practice Makes Perfect" has sales of 1,000,000 copies in the language category – now applied to mathematics
- Workbook is not exam specific, yet it provides thorough coverage of the statistics skills required in most math tests

About the Author
Sandra Luna McCune, Ph.D., is Regents Professor currently teaching as a mathematics specialist in the Department of Elementary Education at Stephen F. Austin State University. She is also an in-demand statistical/mathematical consultant and has served as a statistical expert witness at both the state and federal court level.

CONTENTS
Introduction
I DESCRIPTIVE STATISTICS
1 Classification of data
2 Organizing quantitative data
3 Measures of central tendency
4 Measures of variability
5 Interquartile range and the five-number summary
II FUNDAMENTALS OF CLASSICAL PROBABILITY
6 Counting techniques
7 Basic probability concepts
III THE BINOMIAL AND NORMAL DISTRIBUTIONS
8 The binomial distribution
9 The normal distribution
IV BASIC INFERENTIAL STATISTICS
10 Estimation
11 Hypothesis testing
12 Correlation analysis
Appendix tables

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