Elementary Statistics with Formula Card and Data CD (Int'l Ed)

William Navidi received a B.A. in mathematics from New College, an M.A in mathematics from Michigan State University, and a Ph.D. in statistics from the University of California at Berkeley. Dr. Navidi is a professor of applied mathematics and statistics at the Colorado School of Mines in Golden, Colorado. He began his teaching career at the County College of Morris in Dover, New Jersey. He has taught mathematics and statistics at all levels, from developmental through the graduate level. Dr. Navidi has written two engineering statistics textbooks for McGraw-Hill and has authored more than 50 research papers, both in statistical theory and in a wide variety of applications, including computer networks, epidemiology, molecular biology, chemical engineering, and geophysics. Barry Monk received a B.S. in mathematical statistics, an M.A. in mathematics specializing in optimization and statistics, and a Ph.D. in applied mathematics, all from the University of Alabama. Dr. Monk is a professor of mathematics at Middle Georgia State University in Macon, Georgia, where he has been employed since 2001. Dr. Monk was asked to serve as program coordinator of mathematics after only two years at Macon State College; he led the development of the bachelor's degree in mathematics program and the organization of the Southeastern Scholarship Conference on E-Learning for more than 10 years. He has been teaching introductory statistics since 1992 in the classroom and online.

Table of Contents—Navidi/Monk Elementary Statistics Chapter 1: Basic Ideas1.1 Sampling 1.2 Types of Data 1.3 Design of Experiments 1.4 Bias in Study Chapter 1 Summary Chapter Quiz Chapter 1 Review Exercises Case Study Chapter 2: Graphical Summaries of Data2.1 Graphical Summaries for Qualitative Data 2.2 Frequency Distributions and Their Graphs 2.3 More Graphs for Quantitative Data 2.4 Graphs Can Be Misleading Chapter 2 Summary Chapter Quiz Chapter 2 Review Exercises Case Study Chapter 3: Numerical Summaries of Data3.1 Measures of Center Data 3.2 Measures of Spread 3.3 Measures of Position Chapter 3 Summary Chapter Quiz Chapter 3 Review Exercises Case Study Chapter 4: Summarizing Bivariate Data4.1 Correlation 4.2 The Least-Squares Regression Line 4.3 Features and Limitations of the Least-Squares Regression Line Chapter 4 Summary Chapter Quiz Chapter 4 Review Exercises Case Study Chapter 5: Probability5.1 Basic Ideas5.2 The Addition Rule and the Rule of Compliments 5.3 Conditional Probability and the Multiplication Rule 5.4 Counting Chapter 5 Summary Chapter Quiz Chapter 5 Review Exercises Case Study Chapter 6: Discrete Probability Distributions6.1 Random Variables 6.2 The Binomial Distribution 6.3 The Poisson Distribution Chapter 6 Summary Chapter Quiz Chapter 6 Review Exercises Case Study Chapter 7: The Normal Distribution7.1 The Standard Normal Curve 7.2 Applications of the Normal Distribution 7.3 Sampling Distributions and the Central Limit Theorem 7.4 The Central Limit Theorem for Proportions 7.5 The Normal Approximation to the Binomial Distribution 7.6 Assessing Normality Chapter 7 Summary Chapter Quiz Chapter 7 Review Exercises Case Study Chapter 8: Confidence Intervals8.1 Confidence Intervals for a Population Mean, Standard Deviation Known 8.2 Confidence Intervals for a Population Mean, Standard Deviation Unknown 8.3 Confidence Intervals for a Population Proportion 8.4 The Central Limit Theorem for Proportions 8.5 Determining Which Method to Use Chapter 8 Summary Chapter Quiz Chapter 8 Review Exercises Case Study Chapter 9: Hypothesis Testing 9.1 Basic Principles of Hypothesis Testing9.2 Hypothesis Tests for a Population Mean, Standard Deviation Known 9.3 Hypothesis Tests for a Population Mean, Standard Deviation Unknown9.4 Hypothesis Tests for Proportions 9.5 Hypothesis Tests for a Standard Deviation 9.6 Determining Which Method to Use9.7 Power Chapter 9 Summary Chapter Quiz Chapter 9 Review Exercises Case Study Chapter 10: Two-Sample Confidence Intervals10.1 Confidence Intervals for the Difference Between Two Means: Independent Samples 10.2 Confidence Intervals for the Difference Between Two Proportions 10.3 Confidence Intervals for the Difference Between Two Means: Paired Samples Chapter 10 Summary Chapter Quiz Chapter 10 Review Exercises Case Study Chapter 11: Two-Sample Hypothesis Tests11.1 Hypothesis Tests for the Difference Between Two Means: Independent Samples 11.2 Hypothesis Tests for the Difference Between Two Proportions 11.3 Hypothesis Tests for the Difference Between Two Means: Paired Samples 11.4 Hypothesis Tests for Two Population Standard Deviations 11.5 The Multiple Testing Problem Chapter 11 Summary Chapter Quiz Chapter 11 Review Exercises Case Study Chapter 12: Tests with Qualitative Data12.1 Testing Goodness-of-Fit 12.2 Tests for Independence and HomogeneityChapter 12 Summary Chapter Quiz Chapter 12 Review Exercises Case Study Chapter 13: Inference in Linear Models13.1 Inference on the Slope of the Regression Line 13.2 Inference About the ResponseChapter 13 Summary Chapter Quiz Chapter 13 Review Exercises Case Study Chapter 14: Analysis of Variance14.1 One-way Analysis of Variance 14.2 Two-way Analysis of VarianceChapter 14 Summary Chapter Quiz Chapter 14 Review Exercises Case Study