Statistics: Principles and Methods, Student Solutions Manual, 5th Edition

by Richard A. Johnson (Univ. of Wisconsin, Madison)

• ISBN13: 9780471718840
• ISBN10: 047171884X
• Edition: Student
• Format: Paperback
• Copyright: 2006-05-01
• Publisher: WILEY

Summary

Easy to read, easy to understand Now revised with updated exercises, Johnson and Bhattacharyya's Fifth Edition of Statistics: Principles and Applications once again offers an easy-to-read, easy-to-understand introduction to statistics. The authors use real-world examples, fresh hands-on exercises, and crystal clear explanations to motivate students to explore the powerful ideas of modern statistics. Fresh exercises Exercises and data sets are updated throughout for currency. Each major section and chapter in the text ends with a set of exercises that provides students with the opportunity to practice the ideas they just learned. Data sets are available on the book's website at www.wiley.com/college/johnson. Engaging applications A wide variety of timely example applications throughout the text connect statistics to real-life problems. Extended Statistics in Context examples reveal the value of understanding statistics. This Fifth Edition features new screen shots and keystrokes for MINITAB, Excel, and TI-83 integrated into the text examples, as appropriate, as well as new technology manuals for MINITAB, Excel, and TI-83 on the book's website. A student-friendly approach Featuring an engaging writing style with easy-to-follow explanations, this text makes statistics accessible to students from a wide range of disciplines. Johnson and Bhattacharyya help students understand the meaning behind key statistical methods, appreciate the underlying logic of statistics, and recognize the possible pitfalls of statistical analysis.

Table of Contents

Introduction	1	(4)
Organization and Description of Data	5	(20)
Descriptive Study of Bivariate Data	25	(16)
Probability	41	(24)
Probability Distributions	65	(28)
The Normal Distribution	93	(18)
Variation in Repeated Samples--Sampling Distributions	111	(12)
Drawing Inferences from Large Samples	123	(18)
Small-Sample Inferences for Normal Populations	141	(14)
Comparing Two Treatments	155	(24)
Regression Analysis I -- Simple Linear Regression	179	(16)
Regression Analysis II -- Multiple Linear Regression and Other Topics	195	(12)
Analysis of Categorical Data	207	(16)
Analysis of Variance (ANOVA)	223	(10)
Nonparametric Inference	233