Statistics for the utterly confused [printed text] / Lloyd Jaisingh, Author  . -  Second edition . - New York : McGraw-Hill, 2006 . - xv, 422 p. : ill (b & w) ; Paperback 23mm.
ISBN : 978-0-07-146193-1 : €21.50
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

Keywords:	'Statistics'
Class number:	519.5
Contents note:	Acknowledgements; Preface; Technology Integration; Organization of the Text Part I Descriptive Statistics Chapter 1 Graphical Displays; Chapter 2 Numerical Measures of Central Tendency; Chapter 3 Numerical Measures of Variability; Chapter 4 Numerical Measures of Position; Chapter 5 Exploring Bivariate Data; Chapter 6 Exploring Categorical Data Part II Probability Chapter 7 Randomness, Uncertainty and Probability; Chapter 8 Discrete Probability Distributions; Chapter 9 The Normal Probability Distribution; Chapter 10 Sampling Distributions and the Central Limit Theorem Part III Statistical Inference Chapter 11 Confidence Intervals: Large Samples; Chapter 12 Hypothesis Tests: Large Samples; Chapter 13 Confidence Intervals and Hypothesis Tests: Small Samples; Chapter 14 Chi-Square Procedures; Chapter 15 One-way Analysis of Variance Appendix; Index.