Statistics

• NEW - Probability models—Introduced in Ch. 1.

  • Enables students to recognize from the beginning that the characteristics of the empirical distributions are estimates of those of probability distributions. Spurs their interest in checking to see if a probability model is appropriate for the situation under consideration throughout the text. Ex.___

• NEW - Simplified presentation of concepts in probability and basic distributions—(Chs. 2-4). Introduces a few of the easiest distributions through examples; eliminates the probability generating function, and notes that the moment-generating function can serve in the same capacity.

  • Makes the material more accessible. Ex.___

• NEW - Earlier introduction of multivariate distributions.

  • Many users requested this change which enables instructors to start statistical methods sooner, without conditional distributions, if desired. Ex.___

• NEW - Greater emphasis on confidence intervals than in previous editions—Clearly spells out the relationship between confidence intervals and tests of hypotheses. Because of the natural relationship with one-sided tests of hypotheses, we have increased the emphasis on one-sided confidence intervals to facilitate the need of the practitioner who wants a lower or upper bound for the parameter in question.

• NEW - Distribution-free techniques are now integrated in this chapter rather than being relegated to a separate chapter.

  • Given the new organization of the chapter on Confidence intervals, the instructor may choose to introduce early basic concepts of regression and distribution-free techniques along with the standard techniques.

• NEW - A section on resampling methods (Section 8.11) has been added.

  • Provides the opportunity to cover the new technique in statistical inference. Ex.___

• NEW - A Prologue, Centerpiece, and an Epilogue—Added to provide unification of the various chapters in the book and to emphasize that variation occurs in almost every process, and that the study of probability and statistics helps us understand this variability.

• NEW - An accompanying CD-ROM—Contains 1) a selection of figures from the text that have been created as animations. These figures may easily be viewed in the using of a web browser; and 2) the data sets for the examples and exercises (saved in both Minitab compatible format and ASCII).

  • Seeing graphs and other figures in an animated format brings the concept to life. Ex.___

• A Review of Selected Mathematical Techniques—(Appendix A). Includes a method that makes integration by parts easier; and derives the important Rule of 72 that provides an approximation to the number of years necessary for money to double.

  • Helps reinforce certain basic concepts of mathematics, particularly calculus. Ex.___

• Many applications-oriented examples and exercises—e.g., in biology, education, economics, engineering, environmental studies, exercise science, health science, manufacturing, opinion polls, psychology, sociology, and sports. The data sets for all of the exercises are available on a data disk and on the Web.

  • Makes the book interesting and appealing to a student with a range of majors.

• Probability models—Introduced in Ch. 1.

  • Enables students to recognize from the beginning that the characteristics of the empirical distributions are estimates of those of probability distributions. Spurs their interest in checking to see if a probability model is appropriate for the situation under consideration throughout the text. Ex.___

• Simplified presentation of concepts in probability and basic distributions—(Chs. 2-4). Introduces a few of the easiest distributions through examples; eliminates the probability generating function, and notes that the moment-generating function can serve in the same capacity.

  • Makes the material more accessible. Ex.___

• Earlier introduction of multivariate distributions.

  • Many users requested this change which enables instructors to start statistical methods sooner, without conditional distributions, if desired. Ex.___

• Greater emphasis on confidence intervals than in previous editions—Clearly spells out the relationship between confidence intervals and tests of hypotheses. Because of the natural relationship with one-sided tests of hypotheses, we have increased the emphasis on one-sided confidence intervals to facilitate the need of the practitioner who wants a lower or upper bound for the parameter in question.

• Distribution-free techniques are now integrated in this chapter rather than being relegated to a separate chapter.

  • Given the new organization of the chapter on Confidence intervals, the instructor may choose to introduce early basic concepts of regression and distribution-free techniques along with the standard techniques.

• A section on resampling methods (Section 8.11) has been added.

  • Provides the opportunity to cover the new technique in statistical inference. Ex.___

• A Prologue, Centerpiece, and an Epilogue—Added to provide unification of the various chapters in the book and to emphasize that variation occurs in almost every process, and that the study of probability and statistics helps us understand this variability.

• An accompanying CD-ROM—Contains 1) a selection of figures from the text that have been created as animations. These figures may easily be viewed in the using of a web browser; and 2) the data sets for the examples and exercises (saved in both Minitab compatible format and ASCII).

  • Seeing graphs and other figures in an animated format brings the concept to life. Ex.___

1. Empirical and Probability Distributions.

Mathematical Statistics  (Statistics)

• 
  Probability and Statistical Inference, 8/E
  Hogg & Tanis
  ©2010 | Pearson | Cloth Bound w/CD-ROM; 648 pp | Instock
  ISBN-10: 0321584759 | ISBN-13: 9780321584755
  Suggested retail price: $134.67  Buy from myPearsonStoreNet price: $101.00  (What's this?)Brief Description

  

  Written by two leading statisticians, this applied introduction to the mathematics of probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.

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