|
|
 |
|
Viewing report
|
|
 |
 |
Statistical Reasoning in the Behavioral Sciences, 6th Edition
John Wiley and Sons Ltd, Oct 2010, Pages: 472
Cited by more than 300 scholars, Statistical Reasoning in the Behavioral Sciences continues to provide streamlined resources and easy-to-understand information on statistics in the behavioral sciences and related fields, including psychology, education, human resources management, and sociology.
The sixth edition includes new information about the use of computers in statistics and offers screenshots of IBM SPSS (formerly SPSS) menus, dialog boxes, and output in selected chapters without sacrificing any of the conceptual logic and the statistical formulas needed to facilitate understanding. The example problems have been updated to reflect more current topics (e.g., text messaging while driving, violence in the media).
The latest research and new photos have been integrated throughout the text to make the material more accessible. With these changes, students and professionals in the behavioral sciences will develop an understanding of statistical logic and procedures, the properties of statistical devices, and the importance of the assumptions underlying statistical tools.
New to this Edition:
- Includes new information about the use of computers in statistics and offers screenshots of IBM SPSS menus, dialog boxes, and output in selected chapters.
- Updated example problems to reflect more current topics.
- Presents current research and new photos to make the material more accessible.
Customers who bought this item also bought
Mathematical Statistics with Resampling and R
Statistics: From Data to Decision, 2nd Edition
Understanding Educational Statistics Using Microsoft Excel and SPSS
Statistical Data Analysis: A Practical Guide
Linear Models in Statistics, 2nd Edition
Introduction to Design and Analysis of Experiments
Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB
Six Sigma Quality Improvement with Minitab, 2nd Edition
Multivariate Statistics: High-Dimensional and Large-Sample Approximations
Introduction to Bayesian Statistics, 2nd Edition
|
 |
|
|