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List price: $122.76 Edition: 7th Copyright year: 2003 Publisher: Houghton Mifflin College Division Binding: CD-ROM Pages: 750 Size: 8.75" wide x 10.00" long x 1.25" tall Weight: 4.092 Language: English

AuthorTable of Contents

Charles Brase has more than 30 years of full-time teaching experience in mathematics and statistics. He taught at the University of Hawaii, Manoa Campus, for several years and at Regis University in Denver, Colorado, for more than 28 years. Charles received the Excellence in Teaching award from the University of Hawaii and the Faculty Member of the Year from Regis University on two occasions. He earned degrees from the University of Colorado, Boulder, and has a Ph.D. in Mathematics, an M.A. in Mathematics, and a B.A. in Physics.

Corrinne has taught at Hawaii Pacific College, Honolulu Community College, and Arapahoe Community College in Littleton, Colorado. She was also involved in the mathematics component of an equal opportunity program at the University of Colorado. Corrinne received the Faculty of the Year award from Arapahoe Community College. She earned degrees from the University of Colorado, Boulder, and has an M.A. and B.A. in Mathematics.

Contents Note: Each chapter concludes with a Summary, Important Words and Symbols, Chapter Review Problems, Data Highlights: Group Projects, Linking Concepts: Writing Projects, and Using Technology. 1. Getting Started Focus Problem: Where Have All the Fireflies Gone? 1.1 What Is Statistics? 1.2 Random Samples 1.3 Introduction to Experimental Design 2. Organizing Data Focus Problem: Say It with Pictures 2.1 Bar Graphs, Circle Graphs, and Time Plots 2.2 Frequency Distributions and Histograms 2.3 Stem-and-Leaf Displays 3. Averages and Variation Focus Problem: Why Bother! 3.1 Measures of Central Tendency: Mode, Median, and Mean 3.2 Measures of Variation 3.3 Mean and Standard Deviation of Grouped Data 3.4 Percentiles and Box-and-Whisker Plots 4. Elementary Probability Theory Focus Problem: How Often Do Lie Detectors Lie? 4.1 What Is Probability? 4.2 Some Probability RulesCompound Events 4.3 Trees and Counting Techniques 5. The Binomial Probability Distribution and Related Topics Focus Problem: Personality Preference Types: Introvert or Extrovert? 5.1 Introduction to Random Variables and Probability Distributions 5.2 Binomial Probabilities 5.3 Additional Properties of the Binomial Distribution 5.4 The Geometric and Poissson Probability Distributions 6. Normal Distributions Focus Problem: Large Auditorium Shows: How Many Will Attend? 6.1 Graphs of Normal Probability Distributions 6.2 Standard Units and Areas Under the Standard Normal Distribution 6.3 Areas Under Any Normal Curve 6.4 Normal Approximation to the Binomial Distribution 7. Introduction to Sampling Distributions Focus Problem: Impulse Buying 7.1 Sampling Distributions 7.2 The Central Limit Theorem 7.3 Sampling Distribution for Proportions 8. Estimation Focus Problem: The Trouble with Wood Ducks 8.1 Estimating µ with Large Samples 8.2 Estimating µ with Small Samples 8.3 Estimating p in the Binomial Distribution 8.4 Choosing the Sample Size 8.5 Estimating µ1µ2 and p1p2 9. Hypothesis Testing Focus Problem: Business Opportunities and Start-Up Costs 9.1 Introduction to Hypothesis Testing 9.2 Test Involving the Mean µ (Large Samples) 9.3 The P Value in Hypothesis Testing 9.4 Tests Involving the Mean µ (Small Samples) 9.5 Tests Involving a Proportion 9.6 Tests Involving Paired Differences (Dependent Samples) 9.7 Testing Differences of Two Means or Two Proportions (Independent Samples) 10. Regression and Correlation Focus Problem: Changing Populations and Crime Rate 10.1 Introduction to Paired Data and Scatter Diagrams 10.2 Linear Regression and Confidence Bounds for Prediction 10.3 The Linear Correlation Coefficient 10.4 Inferences Concerning Regression Parameters 10.5 Multiple Regression 11. Chi Square and F Distributions Focus Problem: Stone Age Tools and Archaeology Part I: Hypothesis Tests Using the Chi-Square Distribution Overview of the Chi-Square Distribution 11.1 Chi Square: Tests of Independence 11.2 Chi Square: Goodness of Fit 11.3 Testing and Estimating a Single Variance or Standard Deviation Part II: Hypothesis Test Using the F Distribution 11.4 Testing Two Variances 11.5 One-Way ANOVA: Comparing Several Sample Means 11.6 Introduction to Two-Way ANOVA 12. Nonparametric Statistics Focus Problem: How Cold? Compared to What? 12.1 The Sign Test for Matched Pairs 12.2 The Rank-Sum Test 12.3 Spearman Rank Correlation Appendix I. Additional Topics Part I: Bayes's Theorem Part II: The Hypergeometric Probability Distribution Part III: Alternate Standard Normal Distribution Table: 0 to z Appendix II. Tables Table 1: Random Numbers Table 2: Binomial Coefficients Cn,r Table 3:Binomial Probability Distribution Cn,rprqn-r Table 4: Poisson Probability Distribution Table 5: Areas of a Standard Normal Distribution Table 6: Student's t Distribution Table 7: The X2 Distribution Table 8: The F Distribution Table 9: Critical Values for Spearman Rank Correlation, rs Answers and Key Steps to Odd-Numbered Problems Index

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