Statistics for the Utterly Confused, Second Edition
When it comes to understanding statistics, even good students can be confused. Perfect for students in any introductory non-calculus-based statistics course, and equally useful to professionals working in the world, Statistics for the Utterly Confused is your ticket to success. Statistical concepts are explained step-by-step and applied to such diverse fields as business, economics, finance, and more.
The message of Statistics for the Utterly Confused is simple: you don't have to be confused anymore. Updated and expanded to give you the latest changes in the field, this up-to-the-minute edition includes many new examples of Excel output, the most widely used of all statistics programs; a new chapter on Analysis of Variance (ANOVA); and 200 additions to the 700 self-testing questions and answers. The expert author's Web site also gives you tons of fresh examples, practice problems, and strategies--so you can go from utterly confused to totally prepared in no time!
Inside, you'll discover how to:
Grasp the meaning of everyday statistical concepts
Find out what's probable and what isn't Read, understand, and solve statistics problems Improve your scores on exams
Use your skills in any field
By:
Lloyd Jaisingh
Imprint: McGraw Hill
Country of Publication: United States
Edition: 2nd Revised edition
Dimensions:
Height: 231mm,
Width: 185mm,
Spine: 22mm
Weight: 753g
ISBN: 9780071461931
ISBN 10: 0071461930
Pages: 352
Publication Date: 22 December 2005
Audience:
General/trade
,
ELT Advanced
Format: Paperback
Publisher's Status: Active
Part I: Descriptive Statistics 1. Graphical Displays 2. Numerical Measures of Central Tendency 3. Numerical Measures of Variability 4. Numerical Measures of Positions 5. Exploring Bivariate Data 6. Exploring Categorical Data Part II: Probability 7. Randomness, Uncertainty, and Probability 8. Discrete Probability Distributions 9. The Normal Probability Distribution 10. Sampling Distributions and the Central Limit Theorem Part III: Statistical Inference 11. Confidence Intervals: Large Samples 12. Hypothesis Tests: Large Samples 13. Confidence Intervals and Hypothesis Tests: Small Samples 14. Chi-Square Procedures 15. One-Way Analysis of Variance
Lloyd R. Jaisingh, PhD, is Professor of Mathematics at Morehead State University, Morehead, Kentucky. He has published numerous books and articles on elementary statistics and technology in the classroom.
