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Textbook for a one-semester or two-semester basic statistics course. Annotation(c) 2003 Book News, Inc., Portland, OR (booknews.com)

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• Preface(p. xv)
• 1 Introduction and Data Collection(p. 1)
• 1.1 Why a Manager Needs to Know about Statistics(p. 2)
• 1.2 The Growth and Development of Modern Statistics(p. 4)
• 1.3 What Readers of This Textbook Need to Know about Microsoft Excel and PHStat or Minitab(p. 5)
• 1.4 Why Data are Needed(p. 6)
• 1.5 Sources of Data(p. 7)
• 1.6 Types of Data(p. 10)
• 1.7 Design of Survey Research(p. 15)
• 1.8 Types of Sampling Methods(p. 17)
• 1.9 Evaluating Survey Worthiness(p. 23)
• 2 Presenting Data in Tables and Charts(p. 45)
• 2.1 Organizing Numerical Data(p. 46)
• 2.2 Tables and Charts for Numerical Data(p. 50)
• 2.3 Graphing Bivariate Numerical Data(p. 58)
• 2.4 Tables and Charts for Categorical Data(p. 61)
• 2.5 Tabulating and Graphing Bivariate Categorical Data(p. 68)
• 2.6 Graphical Excellence(p. 71)
• 3 Numerical Descriptive Measures(p. 95)
• 3.1 Exploring Numerical Data and Their Properties(p. 96)
• 3.2 Measures of Central Tendency, Variation, and Shape(p. 97)
• 3.3 Exploratory Data Analysis(p. 116)
• 3.4 Obtaining Descriptive Summary Measures from a Population(p. 121)
• 3.5 The Coefficient of Correlation(p. 126)
• 3.6 Pitfalls in Numerical Descriptive Measures and Ethical Issues(p. 130)
• 3.7 Obtaining Descriptive Summary Measures from a Frequency Distribution (CD-ROM Topic)(p. 131)
• 4 Basic Probability(p. 145)
• 4.1 Basic Probability Concepts(p. 147)
• 4.2 Conditional Probability(p. 156)
• 4.3 Bayes' Theorem(p. 164)
• 4.4 Ethical Issues and Probability(p. 167)
• 5 Some Important Discrete Probability Distributions(p. 173)
• 5.1 The Probability Distribution for a Discrete Random Variable(p. 174)
• 5.2 Covariance and Its Application in Finance(p. 177)
• 5.3 Binomial Distribution(p. 182)
• 5.4 Poisson Distribution(p. 190)
• 5.5 Hypergeometric Distribution(p. 193)
• 6 The Normal Distribution and Other Continuous Distributions(p. 205)
• 6.1 The Normal Distribution(p. 206)
• 6.2 Evaluating the Normality Assumption(p. 223)
• 6.3 The Exponential Distribution(p. 231)
• 7 Sampling Distributions(p. 241)
• 7.1 Sampling Distribution of the Mean(p. 242)
• 7.2 Sampling Distribution of the Proportion(p. 254)
• 7.3 Sampling from Finite Populations (CD-ROM Topic)(p. 257)
• 8 Confidence Interval Estimation(p. 263)
• 8.1 Confidence Interval Estimation of the Mean ([sigma] Known)(p. 265)
• 8.2 Confidence Interval Estimation of the Mean ([sigma] Unknown)(p. 269)
• 8.3 Confidence Interval Estimation for the Proportion(p. 276)
• 8.4 Determining Sample Size(p. 279)
• 8.5 Applications of Confidence Interval Estimation in Auditing(p. 286)
• 8.6 Confidence Interval Estimation and Ethical Issues(p. 294)
• 8.7 Estimation and Sample Size Determination for Finite Populations (CD-ROM Topic)(p. 294)
• 9 Fundamentals of Hypothesis Testing: One-Sample Tests(p. 307)
• 9.1 Hypothesis-Testing Methology(p. 308)
• 9.2 Z Test of Hypothesis for the Mean ([sigma] Known)(p. 313)
• 9.3 One-Tail Tests(p. 320)
• 9.4 tTest of Hypothesis for the Mean ([sigma] Unknown)(p. 323)
• 9.5 Z Test of Hypothesis for the Proportion(p. 329)
• 9.6 X[superscript 2] Test of Hypothesis for the Variance or Standard Deviation(p. 332)
• 9.7 The Power of a Test (CD-ROM Topic)(p. 336)
• 9.8 Potential Hypothesis-Testing Pitfalls and Ethical Issues(p. 336)
• 10 Two-Sample Tests with Numerical Data(p. 347)
• 10.1 Comparing Two Independent Samples: t Tests for Differences in Two Means(p. 348)
• 10.2 F Test for Difference in Two Variances(p. 357)
• 10.3 Comparing Two Related Samples: t Test for the Mean Difference(p. 364)
• 10.4 Wilcoxon Rank Sum Test for Differences in Two Medians(p. 372)
• 10.5 Wilcoxon Signed-Ranks Test for the Median Difference (CD-ROM Topic)(p. 378)
• 11 Analysis of Variance(p. 391)
• 11.1 The Completely Randomized Design: One-Way Analysis of Variance(p. 392)
• 11.2 The Randomized Block Design(p. 407)
• 11.3 The Factorial Design: Two-Way Analysis of Variance(p. 417)
• 11.4 Kruskal-Wallis Rank Test for Differences in c Medians(p. 429)
• 11.5 Friedman Rank Test for Differences in c Medians (CD-ROM Topic)(p. 434)
• 12 Tests for Two or More Samples with Categorical Data(p. 449)
• 12.1 Z Test for the Difference Between Two Proportions(p. 450)
• 12.2 x[superscript 2] Test for the Difference Between Two Proportions(p. 456)
• 12.3 x[superscript 2] Test for Differences in More Than Two Proportions(p. 463)
• 12.4 x[superscript 2] Test of Independence(p. 471)
• 13 Simple Linear Regression(p. 487)
• 13.1 Types of Regression Models(p. 488)
• 13.2 Determining the Simple Linear Regression Equation(p. 490)
• 13.3 Measures of Variation(p. 498)
• 13.4 Assumptions(p. 503)
• 13.5 Residual Analysis(p. 504)
• 13.6 Measuring Autocorrelation: The Durbin-Watson Statistic(p. 509)
• 13.7 Inferences about the Slope and Correlation Coefficient(p. 514)
• 13.8 Estimation of Mean Values and Prediction of Individual Values(p. 521)
• 13.9 Pitfalls in Regression and Ethical Issues(p. 525)
• 13.10 Computations in Simple Linear Regression(p. 529)
• 14 Introduction to Multiple Regression(p. 549)
• 14.1 Developing the Multiple Regression Model(p. 550)
• 14.2 Residual Analysis for the Multiple Regression Model(p. 559)
• 14.3 Influence Analysis(p. 561)
• 14.4 Testing for the Significance of the Multiple Regression Model(p. 564)
• 14.5 Inferences Concerning the Population Regression Coefficients(p. 566)
• 14.6 Testing Portions of the Multiple Regression Model(p. 570)
• 14.7 Logistic Regression(p. 577)
• 15 Multiple Regression Model Building(p. 589)
• 15.1 The Quadratic Regression Model(p. 590)
• 15.2 Dummy-Variable Models(p. 599)
• 15.3 Using Transformations in Regression Models(p. 608)
• 15.4 Collinearity(p. 611)
• 15.5 Model Building(p. 613)
• 15.6 Pitfalls in Multiple Regression and Ethical Issues(p. 624)
• 16 Time-Series Analysis(p. 635)
• 16.1 The Importance of Business Forecasting(p. 636)
• 16.2 Component Factors of the Classical Multiplicative Time-Series Model(p. 637)
• 16.3 Smoothing the Annual Time Series(p. 639)
• 16.4 Least-Squares Trend Fitting and Forecasting(p. 646)
• 16.5 The Holt-Winters Method for Trend Fitting and Forecasting(p. 659)
• 16.6 Autoregressive Modeling for Trend Fitting and Forecasting(p. 663)
• 16.7 Choosing an Appropriate Forecasting Model(p. 672)
• 16.8 Time-Series Forecasting of Monthly or Quarterly Data(p. 677)
• 16.9 Pitfalls Concerning Time-Series Analysis(p. 685)
• 16.10 Index Numbers (CD-ROM Topic)(p. 685)
• 17 Decision Making(p. 695)
• 17.1 The Payoff Table and Decision Trees(p. 696)
• 17.2 Criteria for Decision Making(p. 700)
• 17.3 Decision Making with Sample Information(p. 708)
• 17.4 Utility(p. 713)
• 18 Statistical Applications in Quality and Productivity Management(p. 721)
• 18.1 Quality and Productivity: A Historical Perspective(p. 723)
• 18.2 Deming's 14 Points: A Theory of Management(p. 723)
• 18.3 The Theory of Control Charts(p. 726)
• 18.4 Control Chart for the Proportion of Nonconforming Items--The p Chart(p. 728)
• 18.5 The Red Bead Experiment: Understanding Process Variability(p. 734)
• 18.6 Control Chart for An Area of Opportunity--The c Chart(p. 737)
• 18.7 Control Charts for the Range and the Mean (X)(p. 741)
• 18.8 Process Capability(p. 748)
• Appendices(p. 781)
• A. Review of Arithmetic, Alegbra, and Logarithms(p. 781)
• B. Summation Notation(p. 785)
• C. Statistical Symbols and Greek Alphabet(p. 791)
• D. CD-ROM Contents(p. 793)
• E. Tables(p. 807)
• F. More About PHStat2(p. 839)
• Index(p. 843)
• CD-ROM Topics
• 3.7 Obtaining Descriptive Summary Measures(p. 1)
• 7.3 Sampling from Finite Populations(p. 1)
• 8.7 Estimation and Sample Size Determination for Finite Populations(p. 1)
• 9.7 The Power of a Test(p. 1)
• 10.5 Wilcoxon Signed-Ranks Test for the Median Difference(p. 1)
• 11.5 Freidman Rank Test for Differences in C Medians(p. 1)
• 16.10 Index Numbers(p. 1)