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Taking a systematic approach to teaching statistical methods, Understandable Statistics, 6/e, is designed to help introductory-level students overcome their apprehension about statistics. The authors provide students with plenty of guidance and informal advice, in addition to showing students the links between statistics and the world around them.
Already the only semester-long statistics book to integrate graphing technology and real life data, Understandable Statistics, 6/e, now adds a wealth of new real-world features including updated exercises, collaborative projects, data, and integration of Internet use.
Note: Every chapter begins with a Chapter Overview, and includes a Summary, Important Words and Symbols, and Chapter Review Problems. Chapters 2-12 conclude with Data Highlights: Group Projects, Linking Concepts: Writing Projects, and Using Technology.
Table of Prerequisite Material
Preface
A User's Guide to Features
1. Getting Started
Focus Problem: Where Have All the Fireflies Gone?
Section 1.1 What Is Statistics?
Section 1.2 Calculators and Computers in Statistics
Section 1.3 Where Will I Use Statistics?
2. Organizing Data
Focus Problem: Say It with Pictures
Section 2.1 Random Samples
Section 2.2 Graphs
Section 2.3 Histograms and Frequency Distributions
Section 2.4 Stem-and-Leaf Displays
3. Averages and Variations
Focus Problem: High Fliers: Commercial Airline Pilot's Pay
Section 3.1 Measures of Central Tendency: Mode, Median, and Mean
Section 3.2 Measures of Variation
Section 3.3 Mean and Standard Deviation of Grouped Data
Section 3.4 Percentiles and Box-and-Whisker Plots
4. Elementary Probability Theory
Focus Problem: How Often Do Lie Detectors Lie?
Section 4.1 What Is Probability?
Section 4.2 Some Probability Rules - Compound Events
Section 4.3 Trees and Counting Techniques
5. The Binomial Probability Distribution and Related Topics
Focus Problem: Personality Preference Types: Introvert or Extrovert?
Section 5.1 Introduction to Random Variables and Probability Distributions
Section 5.2 Binomial Probabilities
Section 5.3 Additional Properties of the Binomial Distribution
Section 5.4 The Geometric and Poisson Probability Distributions
6. Normal Distributions
Focus Problem: Large Auditorium Shows: How Many Will Attend?
Section 6.1 Graphs of Normal Probability Distributions
Section 6.2 Standard Units and Areas Under the Standard Normal Distribution
Section 6.3 Areas Under Any Normal Curve
Section 6.4 Normal Approximation to the Binomial Distribution
7. Introduction to Sampling Distributions
Focus Problem: Impulse Buying
Section 7.1 Sampling Distributions
Section 7.2 The Central Limit Theorem
Section 7.3 Class Project Illustrating the Central Limit Theorem
8. Estimation
Focus Problem: The Trouble with Wood Ducks
Section 8.1 Estimating u with Large Samples
Section 8.2 Estimating u with Small Samples
Section 8.3 Estimating p in the Binomial Distribution
Section 8.4 Choosing the Sample Size
Section 8.5 Estimating u1 - u2 and p1 - p2
9. Hypothesis Testing
Focus Problem: Business Opportunities and Franchise Fees
Section 9.1 Introduction to Hypothesis Testing
Section 9.2 Tests Involving the Mean u (Large Samples)
Section 9.3 The P Value in Hypothesis Testing
Section 9.4 Tests Involving the Mean u (Small Samples)
Section 9.5 Tests Involving a Proportion
Section 9.6 Tests Involving Paired Differences (Dependent Samples)
Section 9.7 Testing Differences of Two Means or Two Proportions (Independent Samples)
10. Regression and Correlation
Focus Problem: Getting the Best Price
Section 10.1 Introduction to Paired Data and Scatter Diagrams
Section 10.2 Linear Regression and Confidence Bounds for Prediction
Section 10.3 The Linear Correlation Coefficient
Section 10.4 Testing the Correlation Coefficient
Section 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 Chi-Square Distribution
Section 11.1 Chi-Square: Tests of Independence
Section 11.2 Chi-Square: Goodness of Fit
Section 11.3 Testing and Estimating Variances and Standard Deviations
Part II Hypothesis: Tests Using the F Distribution
Section 11.4 Testing the Differences of Variances
Section 11.5 ANOVA: Comparing Several Sample Means
Section 11.6 Introduction to Two-Way ANOVA
12. Nonparametric Statistics
Focus Problem: How Cold? Compared to What?
Section 12.1 The sign Test
Section 12.2 The Rank-Sum Test
Section 12.3 Spearman Rank Correlation
Appendix I. Additional Topics
Appendix II. Tables
Appendix III. Data Files
Appendix IV. Answers and Key Steps to Odd-Numbered Problems
Index
Other Editions for Understandable Statistics : Concepts and Methods
Charles Henry Brase and Corrinne Pellillo Brase
ISBN13: 978-0395907689Taking a systematic approach to teaching statistical methods, Understandable Statistics, 6/e, is designed to help introductory-level students overcome their apprehension about statistics. The authors provide students with plenty of guidance and informal advice, in addition to showing students the links between statistics and the world around them.
Already the only semester-long statistics book to integrate graphing technology and real life data, Understandable Statistics, 6/e, now adds a wealth of new real-world features including updated exercises, collaborative projects, data, and integration of Internet use.
Table of Contents
Note: Every chapter begins with a Chapter Overview, and includes a Summary, Important Words and Symbols, and Chapter Review Problems. Chapters 2-12 conclude with Data Highlights: Group Projects, Linking Concepts: Writing Projects, and Using Technology.
Table of Prerequisite Material
Preface
A User's Guide to Features
1. Getting Started
Focus Problem: Where Have All the Fireflies Gone?
Section 1.1 What Is Statistics?
Section 1.2 Calculators and Computers in Statistics
Section 1.3 Where Will I Use Statistics?
2. Organizing Data
Focus Problem: Say It with Pictures
Section 2.1 Random Samples
Section 2.2 Graphs
Section 2.3 Histograms and Frequency Distributions
Section 2.4 Stem-and-Leaf Displays
3. Averages and Variations
Focus Problem: High Fliers: Commercial Airline Pilot's Pay
Section 3.1 Measures of Central Tendency: Mode, Median, and Mean
Section 3.2 Measures of Variation
Section 3.3 Mean and Standard Deviation of Grouped Data
Section 3.4 Percentiles and Box-and-Whisker Plots
4. Elementary Probability Theory
Focus Problem: How Often Do Lie Detectors Lie?
Section 4.1 What Is Probability?
Section 4.2 Some Probability Rules - Compound Events
Section 4.3 Trees and Counting Techniques
5. The Binomial Probability Distribution and Related Topics
Focus Problem: Personality Preference Types: Introvert or Extrovert?
Section 5.1 Introduction to Random Variables and Probability Distributions
Section 5.2 Binomial Probabilities
Section 5.3 Additional Properties of the Binomial Distribution
Section 5.4 The Geometric and Poisson Probability Distributions
6. Normal Distributions
Focus Problem: Large Auditorium Shows: How Many Will Attend?
Section 6.1 Graphs of Normal Probability Distributions
Section 6.2 Standard Units and Areas Under the Standard Normal Distribution
Section 6.3 Areas Under Any Normal Curve
Section 6.4 Normal Approximation to the Binomial Distribution
7. Introduction to Sampling Distributions
Focus Problem: Impulse Buying
Section 7.1 Sampling Distributions
Section 7.2 The Central Limit Theorem
Section 7.3 Class Project Illustrating the Central Limit Theorem
8. Estimation
Focus Problem: The Trouble with Wood Ducks
Section 8.1 Estimating u with Large Samples
Section 8.2 Estimating u with Small Samples
Section 8.3 Estimating p in the Binomial Distribution
Section 8.4 Choosing the Sample Size
Section 8.5 Estimating u1 - u2 and p1 - p2
9. Hypothesis Testing
Focus Problem: Business Opportunities and Franchise Fees
Section 9.1 Introduction to Hypothesis Testing
Section 9.2 Tests Involving the Mean u (Large Samples)
Section 9.3 The P Value in Hypothesis Testing
Section 9.4 Tests Involving the Mean u (Small Samples)
Section 9.5 Tests Involving a Proportion
Section 9.6 Tests Involving Paired Differences (Dependent Samples)
Section 9.7 Testing Differences of Two Means or Two Proportions (Independent Samples)
10. Regression and Correlation
Focus Problem: Getting the Best Price
Section 10.1 Introduction to Paired Data and Scatter Diagrams
Section 10.2 Linear Regression and Confidence Bounds for Prediction
Section 10.3 The Linear Correlation Coefficient
Section 10.4 Testing the Correlation Coefficient
Section 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 Chi-Square Distribution
Section 11.1 Chi-Square: Tests of Independence
Section 11.2 Chi-Square: Goodness of Fit
Section 11.3 Testing and Estimating Variances and Standard Deviations
Part II Hypothesis: Tests Using the F Distribution
Section 11.4 Testing the Differences of Variances
Section 11.5 ANOVA: Comparing Several Sample Means
Section 11.6 Introduction to Two-Way ANOVA
12. Nonparametric Statistics
Focus Problem: How Cold? Compared to What?
Section 12.1 The sign Test
Section 12.2 The Rank-Sum Test
Section 12.3 Spearman Rank Correlation
Appendix I. Additional Topics
Appendix II. Tables
Appendix III. Data Files
Appendix IV. Answers and Key Steps to Odd-Numbered Problems
Index
Other Editions for Understandable Statistics : Concepts and Methods