Understandable Statistics: Concepts and Methods, 9th Edition

Charles Henry Brase - Regis University

Corrinne Pellillo Brase - Arapahoe Community College

ISBN-10: 0618949925  ISBN-13: 9780618949922

816 Pages   Casebound

© 2009     Published

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• Overview
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• About the Author
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• Table of Contents
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• Features
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• New to this Edition

Table of Contents

Note: Each chapter concludes with a Summary, Important Words & Symbols, Chapter Review Problems, Data Highlights: Group Projects, Linking Concepts: Writing Projects, and Using Technology.
Table of Prerequisite Material
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 Frequency Distributions, Histograms, and Related Topics
2.2 Bar Graphs, Circle Graphs, and Time-Series Graphs
2.3 Stem-and-Leaf Displays
3. Averages and Variation
Focus Problem: The Educational Advantage
3.1 Measures of Central Tendency: Mode, Mediate, and Mean
3.2 Measures of Variation
3.3 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 Probabiilty 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 Properities of the Binomial Distribution
5.4 The Geometric and Poisson 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 Distributions for Proportions
8. Estimation
Focus Problem: The Trouble with Wood Ducks
8.1 Estimating μ When σ Is Known
8.2 Estimating μ When σ Is Unknown
8.3 Estimating p in the Binomial Distribution
8.4 Estimating μ1-μ2 and p1-p2
Cumulative Review Problems: Chapters 7-9
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 μ
9.3 Testing a Proportion p
9.4 Tests Involving Paired Differences (Dependent Samples)
9.5 Testing μ1-μ2 and p1-p2 (Independent Samples)
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: Archaeology in Bandelier National Monument
Part I: Inferences Using the Chi-Square Distribution
Overview of the Chi-Square Distribution
11.1 Chi-Square: Tests of Independence and of Homogeneity
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
Table 3: Binomial Probaility Distribution
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 Distribution
Table 8: Critical Values for F Distribution
Table 9: Critical Values for Spearman Rank Correlation
Table 10: Critical Values for Number of Runs R