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About our author

The late Neil A. Weiss received his Ph.D. from UCLA and subsequently accepted an assistant professor position at Arizona State University (ASU), where he was ultimately promoted to the rank of full professor. Dr. Weiss taught statistics, probability, and mathematics, from the freshman level to the advanced graduate level, for more than 30 years.

In recognition of his excellence in teaching, Dr. Weiss received the Dean's Quality Teaching Award from the ASU College of Liberal Arts and Sciences. He also was runner-up twice for the Charles Wexler Teaching Award in the ASU School of Mathematical and Statistical Sciences. Dr. Weiss's comprehensive knowledge and experience ensure that his texts are mathematically and statistically accurate, as well as pedagogically sound.

In addition to his numerous research publications, Dr. Weiss was the author of A Course in Probability (Addison-Wesley, 2006). He also authored or coauthored books in finite mathematics, statistics and real analysis. His texts, well known for their precision, readability and pedagogical excellence, are used worldwide.

Dr. Weiss was a pioneer of the integration of statistical software into textbooks and the classroom, first providing such integration in the book Introductory Statistics (AddisonWesley,1982). Since this first publication, Neil Weiss's work continues to inspire future statisticians and current students of statistics alike.

Zusammenfassung

For one- or two-semester courses in Introductory Statistics.

Statistically significant

**Introductory Statistics MyLab Revision, 10th Edition, Global Edition is ideal for introductory statistics classes that emphasize statistical reasoning and critical thinking. Weisss meticulous and comprehensive coverage includes careful, detailed explanations to ease the learning process. With more than 1,000 data sets and over 3,000 exercises, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical understanding.

Weiss offers a parallel presentation of critical-value and P-value approaches to hypothesis testing. This unique design allows the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two.

Inhalt

• Indicates optional material.

** Indicates optional material on the WeissStats site.

PART I: INTRODUCTION

• 1. The Nature of Statistics

  • Case Study: Top Films of All Time
  • 1.1 Statistics Basics
  • 1.2 Simple Random Sampling
  • 1.3 Other Sampling Designs*
  • 1.4 Experimental Designs*
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography

PART II: DESCRIPTIVE STATISTICS

• 2. Organizing Data

  • Case Study: World's Richest People
  • 2.1 Variables and Data
  • 2.2 Organizing Qualitative Data
  • 2.3 Organizing Quantitative Data
  • 2.4 Distribution Shapes
  • 2.5 Misleading Graphs*
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography

• 3. Descriptive Measures

  • Case Study: The Beatles' Song Length
  • 3.1 Measures of Center
  • 3.2 Measures of Variation
  • 3.3 Chebyshev's Rule and the Empirical Rule*
  • 3.4 The Five-Number Summary; Boxplots
  • 3.5 Descriptive Measures for Populations; Use of Samples
  • Chapter in Review
  • Review Problems
  • Focusing on Data
  • Analysis
  • Case Study Discussion
  • Biography

PART III: PROBABILITY, RANDOM VARIABLES, AND SAMPLING DISTRIBUTIONS

• 4. Probability Concepts

  • Case Study: Texas Hold'em
  • 4.1 Probability Basics
  • 4.2 Events
  • 4.3 Some Rules of Probability
  • 4.4 Contingency Tables; Joint and Marginal Probabilities*
  • 4.5 Conditional Probability*
  • 4.6 The Multiplication Rule; Independence*
  • 4.7 Bayes's Rule*
  • 4.8 Counting Rules*
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography

• 5. Discrete Random Variables*

  • Case Study: Aces Wild on the Sixth at Oak Hill
  • 5.1 Discrete Random Variables and Probability Distributions*
  • 5.2 The Mean and Standard Deviation of a Discrete Random Variable*
  • 5.3 The Binomial Distribution*
  • 5.4 The Poisson Distribution*
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography

• 6. The Normal Distribution

  • Case Study: Chest Sizes of Scottish Militiamen
  • 6.1 Introducing Normally Distributed Variables
  • 6.2 Areas under the Standard Normal Curve
  • 6.3 Working with Normally Distributed Variables
  • 6.4 Assessing Normality; Normal Probability Plots
  • 6.5 Normal Approximation to the Binomial Distribution*
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography

• 7. The Sampling Distribution of the Sample Mean

  • Case Study: The Chesapeake and Ohio Freight Study
  • 7.1 Sampling Error; the Need for Sampling Distributions
  • 7.2 The Mean and Standard Deviation of the Sample Mean
  • 7.3 The Sampling Distribution of the Sample Mean
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography

PART IV: INFERENTIAL STATISTICS

• 8. Confidence Intervals for One Population Mean

  • Case Study: Bank Robberies: A Statistical Analysis
  • 8.1 Estimating a Population Mean
  • 8.2 Confidence Intervals for One Population Mean When Is Known
  • 8.3 Confidence Intervals for One Population Mean When Is Unknown
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography

• 9. Hypothesis Tests for One Population Mean

  • Case Study: Gender and Sense of Direction
  • 9.1 The Nature of Hypothesis Testing
  • 9.2 Critical-Value Approach to Hypothesis Testing
  • 9.3 P-Value Approach to Hypothesis Testing
  • 9.4 Hypothesis Tests for One Population Mean When Is Known
  • 9.5 Hypothesis Tests for One Population Mean When Is Unknown
  • 9.6 The Wilcoxon Signed-Rank Test*
  • 9.7 Type II Error Probabilities; Power*
  • 9.8 Which Procedure Should Be Used?**
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography

• 10. Inferences for Two Population Means

  • Case Study: Dexamethasone Therapy and IQ
  • 10.1 The Sampling Distribution of the Difference between Two Sample Means for Independent Samples
  • 10.2 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal
  • 10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal
  • 10.4 The Mann - Whitney Test*
  • 10.5 Inferences for Two Population Means, Using Paired Samples
  • 10.6 The Paired Wilcoxon Signed-Rank Test*
  • 10.7 Which Procedure Should Be Used?**
  • Chapter in Review
  • Review Problems
  • Focusing on Data Analysis
  • Case Study Discussion
  • Biography

• 11. Inferences for Population Standard Deviations*

  • Case Study: Speaker Woofer Driver Manufacturing
  • 11.1 Inferences for One Population Standard Deviation*
  • 11.2 Inferences for Two Population Standard Deviations, Using Independent Samples*
  • Chapter in Review
  • Review…