Author	McPherson, Glen. author
Title	Applying and Interpreting Statistics [electronic resource] : A Comprehensive Guide / by Glen McPherson
Imprint	New York, NY : Springer New York : Imprint: Springer, 2001
Edition	Second Edition
Connect to	http://dx.doi.org/10.1007/978-1-4757-3435-5
Descript	XXVIII, 641 p. 21 illus. online resource

In the period since the first edition was published, I have appreciated the correยญ spondence from all parts of the world expressing thanks for the presentation of statistics from a user's perspective. It has been particularIy pleasing to have been invited to contribute to course restructuring and development based on the apยญ proach to learning and applying statistics that underlies this book. In addition, I have taken account of suggestions and criticisms, and I hope that this new edition will address all major concerns. The range of readily accessible statistical methods has greatly expanded over the past decade, particularly with the growing accessibility of comprehensive statistiยญ cal computing packages. The approach adopted in this book has anticipated the changes by its emphasis on building understanding and skills in method selection and interpretation of findings. There has been a reduction in computational forยญ mulas to reflect the fact that basic statistical analyses are now almost universally undertaken on computers. This has allowed the inclusion of a more general coverยญ age of unifying methodology, particularly Generalized linear methodology, which permits users to more accurately match their requirements to statistical models and methods. A major addition is a chapter on the commonly used multivariate methods

1 The Importance of Statistics in an Information-Based World -- 2 Data: The Factual Information -- 3 Statistical Models: The Experimenterโ{128}{153}s View -- 4 Comparing Model and Data -- 5 Probability: A Fundamental Tool of Statistics -- 6 Some Widely Used Statistical Models -- 7 Some Important Statistics and Their Sampling Distributions -- 8 Statistical Analysis: The Statisticianโ{128}{153}s View -- 9 Examining Proportions and Success Rates -- 10 Model and Data Checking -- 11 Questions About the โ{128}{156}Averageโ{128}{157} Value -- 12 Comparing Two Groups, Treatments, or Processes -- 13 Comparative Studies, Surveys, and Designed Experiments -- 14 Comparing More Than Two Treatments or Groups -- 15 Comparing Mean Response When There Are Three or More Treatments -- 16 Comparing Patterns of Response: Frequency Tables -- 17 Studying Relations Between Variables -- 18 Prediction and Estimation: The Role of Explanatory Variables -- 19 Questions About Variability -- 20 Cause and Effect: Statistical Perspectives -- 21 Studying Changes in Response over Time -- A Tables for Some Common Probability Distributions -- A.1 The Normal Distribution -- A.3 The Chi-Squared Distribution -- References