The Tenth Edition of this highly-regarded introductory text emphasizes inference and sound decision-making through its extensive coverage of data collection and analysis. McClave develops statistical thinking and teaches students to properly assess the credibility of inferences–from the vantage point of both the consumer and the producer. This edition incorporates more exercises and more visual features, such as redesigned end-of-chapter summaries and an increased use of applets. This text assumes a mathematical background of basic algebra.
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- A wide variety of interesting and diverse applications, many new to this edition:
- Represent a wide and diverse array of relevant business and decision making applications.
- Feature unique and sourced data that illustrates the role that statistics play in decision making.
- Use real world data to emphasize that statistics is important to understanding the world around us.
- Emphasize the interpretation of real problems and adapts them to standard methods of analysis.
- Chapter Openers provide a valuable roadmap for learning.
- Where We’ve Been quickly reviews how previously learned information applies to the upcoming chapter.
- Where We’re Going highlights how the chapter topics fit into students’ growing understanding of statistics.
- End-of-Chapter Review concludes each chapter with information designed to help students check their understanding of the material and study for tests.
- Quick Review is a list of key terms and formulas with page number references for easy look up.
- Language Lab helps students learn the language of statistics through pronunciation guides, descriptions of symbols, names, etc.
- Supplementary Exercises review the important topics introduced in the chapter.
- Chapter Summary Notes help the student summarize and reinforce the important points from the chapter and also serve as a useful study tool.
- Intelligent categorization of the exercise sets into three types gives professors great flexibility in assigning exercises of different levels of difficulty and type:
- Understanding the Principles are skill-and-drill exercises, followed by Learning the Mechanics, then Applied Exercises, which are separated into Basic, Intermediate and Advanced.
- Critical Thinking Challenges ask students to think critically to solve one or two challenging real-life problems. These are located at the end of each chapter’s exercise set.
- The 3-Step Example Format provides students with a well-defined structure to approach problems and enhance their problem solving skills.
- “Now Work” exercises give students the opportunity to test and confirm their understanding of each concept. These exercises follow each example, suggesting similar end-of-section exercise to the text example.
- Statistics in Action Cases begin each chapter with an engaging case study of a contemporary, controversial, or high-profile issue and its accompanying data. The case is revisited throughout the chapter (Statistic in Action Revisited) to demonstrate how to analyze the data and interpret the results. This feature illustrates the importance of applying sound statistical techniques in order to evaluate the findings and to think through the statistical issues involved.
- Full-color presentation highlights the important pedagogy within the text, helping student make the most of their text.
- Minitab® Software Tutorials are referenced at the end of each chapter. "Using Technology" tutorials contain point-and-click instructions and screen shots for Minitab. These tutorials are easily located and provide students with useful information on how best to use and maximize Minitab statistical software.
- Statistical Software Printouts appear throughout the text in examples and exercises and include Minitab, SPSS®, and SAS® printouts. Students benefit from the exposure to the computer printouts they will encounter in the hi-tech world.
- Flexible coverage of probability offers a choice in level of coverage. Counting rules are located in a separate, optional section at the end of the probability chapter.
- Profiles of Statisticians in History side boxes provide a photo and a brief description of famous statistician’s achievements. Reviewing these profiles helps students develop an appreciation of the statistician’s efforts as well as for the discipline of statistics as a whole.
- The Student Data CD, which is packaged with every new copy of the text, contains files for all of the data sets in the text that are marked by a CD icon. These include data sets for text examples, exercises, and “Statistics in Action” cases. All data files are saved in four different formats: Minitab, SAS, SPSS, and ASCII (for easy importing into other statistical software packages). The CD also contains the applets used to illustrate statistical concepts.
New to This Edition
- Over 30% revised or updated exercises based on contemporary studies and real data. Most of these exercises foster and promote critical thinking skills. In addition to Learning the Mechanics exercises, Applied Exercises are categorized into “Basic,” “Intermediate,” and “Advanced” at the end of each section.
- Visual End-of-Chapter Summaries feature flow graphs for selecting the appropriate statistical method, as well as boxed notes with key words, formulas, definitions, lists, and key concepts. This graphical presentation is especially helpful to those students who are visual learners, but it all students by summarizing and reinforcing the important points from the chapter.
- “Hands-On” Activities for Studentsin each chapter offer opportunities to participate in hands-on classroom activities, ranging from real data collection to formal statistical analysis. These optional activities, based on key concepts and procedures in the chapter, can be performed individually or as a class.
- Applet Exercises allow students to easily run simulations that demonstrate some of the more difficult statistical concepts (e.g., sampling distributions and confidence levels). Each chapter contains several optional applet exercises in the exercise sets, which are denoted with an Applet icon. These applets are located on the Data CD-ROM that is bound with every new copy of the book.
- New Statistics in Action Cases have been added, each centering on a contemporary, controversial, or high-profile issue and its accompanying data. For example, the authors explore whether homework assigned to family members is really effective (Chapter 9), and the relationship between how often and how much college students drink alcohol (Chapter 13).
- Nonparametrics Chapter on the CD: At the recommendation of reviewers and current users of the text, Chapter 14 (Nonparametric Statistics) is now available on a CD that accompanies the text or online at www.prenhall.com/statistics. (Click on “Introductory Statistics” and then click on the listing for this textbook.)
- Content-Specific Changes to This Edition
- Chapter 11 (Simple Linear Regression). Several sections from the previous edition have been combined and streamlined to shorten the chapter. The section on estimating σ2 is now included in Section 11.3 (“Model Assumptions”), while the sections on the coefficients of correlation and determination are combined into a single section (Section 11.5).
- Chapter 12 (Multiple Regression and Model Building). Two sections from the previous edition have been reorganized: Section 12.2 now presents tests on the individual model parameters, as well as interpretations of their values; Section 12.3 discusses how to make inferences about the overall utility of the multiple-regression model.
Table of Contents
1. Statistics, Data, and Statistical Thinking
1.1 The Science of Statistics
1.2 Types of Statistical Applications
1.3 Fundamental Elements of Statistics
1.4 Types of Data
1.5 Collecting Data
1.6 The Role of Statistics in Critical Thinking
Statistics in Action: USA Weekend Teen Surveys — Are Boys Really from Mars and Girls from Venus?
Using Technology: Creating and Listing Data in MINITAB
2. Methods for Describing Sets of Data
2.1 Describing Qualitative Data
2.2 Graphical Methods for Describing Quantitative Data
2.3 Summation Notation
2.4 Numerical Measures of Central Tendency
2.5 Numerical Measures of Variability
2.6 Interpreting the Standard Deviation
2.7 Numerical Measures of Relative Standing
2.8 Methods for Detecting Outliers (Optional)
2.9 Graphing Bivariate Relationships (Optional)
2.10 Distorting the Truth with Descriptive Techniques
Statistics In Action: The "Eye Cue" Test: Does Experience Improve Performance?
Using Technology: Describing Data in MINITAB
3. Probability (from McClave 11e–Chap 3)
3.1 Events, Sample Spaces, and Probability
3.2 Unions and Intersections
3.3 Complementary Events
3.4 The Additive Rule and Mutually Exclusive Events
3.5 Conditional Probability
3.6 The Multiplicative Rule and Independent Events
3.7 Random Sampling
3.8 Some Counting Rules (Optional)
Statistics In Action: Lotto Buster! — Can You Improve Your Chances of Winning the Lottery?
Using Technology: Generating a Random Sample in MINITAB
4. Random Variables and Probability Distributions
4.1 Two Types of Random Variables
4.2 Probability Distributions for Discrete Random Variables
4.3 The Binomial Distribution
4.4 Probability Distributions for Continuous Random Variables
4.5 The Normal Distribution
4.6 Descriptive Methods for Assessing Normality
4.7 Approximating a Binomial Distribution with a Normal Distribution (Optional)
4.8 Sampling Distributions
4.9 The Central Limit Theorem
Statistics in Action: Super Weapons Development — Is the Hit Ratio Optimized?
Using Technology: Binomial Probabilities, Normal Probabilities, and Normal Probability Plots in MINITAB
5. Inferences Based on a Single Sample: Estimation with Confidence Intervals
5.1 Identifying the Target Parameter
5.2 Large-Sample Confidence Interval for a Population Mean
5.3 Small-Sample Confidence Interval for a Population Mean
5.4 Large-Sample Confidence Interval for a Population Proportion
5.5 Determining the Sample Size
Statistics in Action: Speed — Can a High School Football Player Improve His Sprint Time?
Using Technology: Confidence Intervals in MINITAB
6. Inferences Based on a Single Sample: Tests of Hypothesis
6.1 The Elements of a Test of Hypothesis
6.2 Large-Sample Test of Hypothesis About a Population Mean
6.3 Observed Significance Levels: p-Values
6.4 Small-Sample Test of Hypothesis About a Population Mean
6.5 Large-Sample Test of Hypothesis About a Population Proportion
6.6 A Nonparametric Test about a Population Median (Optional)
Statistics in Action: Diary of a Kleenex User— How Many Tissues in a Box?
Using Technology: Tests of Hypothesis in MINITAB
7. Comparing Population Means
7.1 Identifying the Target Parameter
7.2 Comparing Two Population Means: Independent Sampling
7.3 Comparing Two Population Means: Paired Difference Experiments
7.4 Determining the Sample Size
7.5 A Nonparametric Test for Comparing Two Population: Independent Sampling (Optional)
7.6 A Nonparametric Test for Comparing Two Populations: Paired Difference Experiments (Optional)
7.7 Comparing Three or More Population Means: Analysis of Variance (Optional)
Statistics in Action: On the Trail of the Cockroach: Do Roaches Travel at Random?
Using Technology: Comparing Means in MINITAB
8. Comparing Population Proportions
8.1 Comparing Two Population Proportions: Independent Sampling
8.2 Determining the Sample Size
8.3 Contingency Table Analysis (Optional)
Statistics in Action: College Students and Alcohol — Is Drinking Frequency Related to Amount?
Using Technology: Chi-Square Analyses in MINITAB
9. Simple Linear Regression
9.1 Probabilistic Models
9.2 Fitting the Model: The Least Squares Approach
9.3 Model Assumptions
9.4 Assessing the Utility of the Model: Making Inferences About the Slope β1
9.5 The Coefficients of Correlation and Determination
9.6 Using the Model for Estimation and Prediction
9.7 A Complete Example
9.8 A Nonparametric Test for Correlation (Optional)
Statistics in Action: Can "Dowsers" Really Detect Water?
Using Technology: Simple Linear Regression in MINITAB
Appendix A: Tables
Table I Random Numbers
Table II Binomial Probabilities
Table III Normal Curve Areas
Table IV Critical Values of t
Table V Critical Values of TL and TU for the Wilcoxon Rank Sum Test: Independent Samples
Table VI Critical Values of T0 in the Wilcoxon Paired Difference Signed Rank Test
Table VII Percentage Points of the F Distribution, α=.10
Table VIII Percentage Points of the F Distribution, α=.05
Table IX Percentage Points of the F Distribution, α=.025
Table X Percentage Points of the F Distribution, α=.01
Table XI Critical Values of χ2
Table XII Critical Values of Spearman's Rank Correlation Coefficient
Short Answers to Selected Odd-Numbered Exercises
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About the Author(s)
Dr. Jim McClave is currently President and CEO of Info Tech, Inc., a statistical consulting and software development firm with an international clientele. He is also currently an Adjunct Professor of Statistics at the University of Florida, where he was a full-time member of the faculty for twenty years.
Terry Sincich obtained his PhD in Statistics from the University of Florida in 1980. He is an Associate Professor in the Information Systems & Decision Sciences Department at the University of South Florida in Tampa. Dr. Sincich is responsible for teaching basic statistics to all undergraduates, as well as advanced statistics to all doctoral candidates, in the College of Business Administration. He has published articles in such journals as the Journal of the American Statistical Association, International Journal of Forecasting, Academy of Management Journal, and the Auditing: A Journal of Practice & Theory. Dr. Sincich is a co-author of the texts Statistics, Statistics for Business & Economics, Statistics for Engineering & the Sciences, and A Second Course in Statistics: Regression Analysis.
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