Synopses & Reviews
Understandable Statistics is a thorough, yet approachable statistics text. Designed to help students overcome their apprehension about statistics, the text provides guidance and informal advice showing students the links between statistics and the world. To reinforce this approach, the book integrates real-life data selected from a variety of sources including journals, periodicals, newspapers and the internet. The use of the graphing calculator, Excel, Minitab and SPSS is covered, but not required. The new Enhanced Edition includes new critical thinking and statistical literacy content, extensive technology resources including a new algorithmic test bank, new lecture slides (PowerPoint), along with a market-leading DVD series and other resources designed to provide reinforcement for students and support for instructors.
Synopsis
Understandable Statistics is a thorough, yet approachable statistics text. Designed to help students overcome their apprehension about statistics, the text provides guidance and informal advice showing students the links between statistics and their everyday lives. To reinforce this approach, the book integrates real-life data selected from a variety of sources including journals, periodicals, newspapers and the Internet. The use of graphing calculators, Excel, Minitab and SPSS is covered, but not required. A set of technology resources accompanying the Eighth Edition, designed to provide reinforcement for struggling students, includes a market-leading video and DVD series, interactive lessons, and simulations.
About the Author
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 award 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 Pellillo Brase 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.
Table of 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-Series Graphs 2.2 Frequency Distribution, Histograms, and Related Topics 2.3 Stem-and-Leaf Displays 3. Averages and Variation Focus Problem: The Educational Advantage 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 Cumulative Review Problems: Chapters 1-3 4. Elementary Probability Theory Focus Problem: How Often Do Lie Detectors Lie? 4.1 What Is Probability? 4.2 Some Probability Rules--Compound 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 Cumulative Review Problems: Chapters 4-6 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 ? When ? Is Known 8.2 Estimating ? When ? Is Unknown 8.3 Estimating p in the Binomial Distribution 8.4 Choosing the Sample Size 8.5 Estimating ?1-?2 and p1-p2 9. Hypothesis Testing Focus Problem: Benford's Law: The Importance of Being Number 1 9.1 Introduction to Statistical Tests 9.2 Testing the Mean ? 9.3 Testing the Proportion p 9.4 Tests Involving Paired Differenced (Dependent Samples) 9.5 Testing ?1-?2 and p1-p2 (Independent Samples) Cumulative Review Problems: Chapters 7-9 10. Correlation and Regression Focus Problem: Changing Populations and Crime Rate 10.1 Scatter Diagrams and Linear Correlation 10.2 Linear Regression and the Coefficient of Determination 10.3 Inferences for Correlation and Regression 10.4 Multiple Regression 11. Chi-Square and F Distributions Focus Problem: Stone Age Tools and Archaeology Part I: Inferences 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: Inferences 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 12.4 Runs Test for Randomness Cumulative Review Problems: Chapters 10-12 Appendix I: Additional Topics Part I: Bayes's Theorem Part II: The Hypergeometric Probability Distribution 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: Critical Values for Student's t Distribution Table 7: The x2 Distrubtion Table 8: Critical Values for F Distrubtion Table 9: Critical Values for Spearman Rank Correlation, rs Table 10: Critical Values for Number of Runs R Appendix III: Critical Thinking and Statistical Literacy 1: Getting Started 2: Organizing Data 3: Averages and Variation 4: Elementary Probability Theorem 5: The Binomial Probability Distribution and Related Topics 6: Normal Distributions 7: Introduction to Sampling Distributions 8: Estimation 9: Hypothesis Testing 10: Correlation and Regression 11: Chi-Square and F Distributions Answers and Key Steps to Odd-Numbered Problems Index