Elementary Statistics: Picturing the World plus MyMathLab/MyStatLab -- Access Card Package

Elementary Statistics: Picturing the World, Fifth Edition, offers our most accessible approach to statistics—with more than 750 graphical displays that illustrate data, readers are able to visualize key statistical concepts immediately. Adhering to the philosophy that students learn best by doing, this book relies heavily on examples–25% of the examples and exercises are new for this edition. Larson and Farber continue to demonstrate that statistics is all around us and that it’s easy to understand.

Table of Contents:
Part One. Descriptive Statistics   1. Introduction to Statistics 1.1. An Overview of Statistics 1.2. Data Classification 1.3. Data Collection and Experimental Design   2. Descriptive Statistics 2.1. Frequency Distributions and Their Graphs 2.2. More Graphs and Displays 2.3. Measures of Central Tendency 2.4. Measures of Variation 2.5. Measures of Position   Part Two. Probability & Probability Distributions   3. Probability 3.1. Basic Concepts of Probability and Counting 3.2. Conditional Probability and the Multiplication Rule 3.3. The Addition Rule 3.4. Additional Topics in Probability and Counting   4. Discrete Probability Distributions 4.1. Probability Distributions 4.2. Binomial Distributions 4.3. More Discrete Probability Distributions   5. Normal Probability Distributions 5.1. Introduction to Normal Distributions and the Standard Normal Distribution 5.2. Normal Distributions: Finding Probabilities 5.3. Normal Distributions: Finding Values 5.4. Sampling Distributions and the Central Limit Theorem 5.5. Normal Approximations to Binomial Distributions   Part Three. Statistical Inference   6. Confidence Intervals 6.1. Confidence Intervals for the Mean (Large Samples) 6.2. Confidence Intervals for the Mean (Small Samples) 6.3. Confidence Intervals for Population Proportions 6.4. Confidence Intervals for Variance and Standard Deviation   7. Hypothesis Testing with One Sample 7.1. Introduction to Hypothesis Testing 7.2. Hypothesis Testing for the Mean (Large Samples) 7.3. Hypothesis Testing for the Mean (Small Samples) 7.4. Hypothesis Testing for Proportions 7.5. Hypothesis Testing for Variance and Standard Deviation   8. Hypothesis Testing with Two Samples 8.1. Testing the Difference Between Means (Large Independent Samples) 8.2. Testing the Difference Between Means (Small Independent Samples) 8.3. Testing the Difference Between Means (Dependent Samples) 8.4. Testing the Difference Between Proportions   Part Four. More Statistical Inference   9. Correlation and Regression 9.1 Correlation 9.2. Linear Regression 9.3. Measures of Regression and Prediction Intervals 9.4. Multiple Regression   10. Chi-Square Tests and the F-Distribution 10.1. Goodness-of-Fit Test 10.2. Independence 10.3. Comparing Two Variances 10.4. Analysis of Variance   11. Nonparametric Tests 11.1. The Sign Test 11.2. The Wilcoxon Tests 11.3. The Kruskal-Wallis Test 11.4. Rank Correlation 11.5. The Runs Test   Appendix A. Alternative Presentation of the Standard Normal Distribution             Standard Normal Distribution Table (0-to-z)             Alternative Presentation of the Standard Normal Distribution Appendix B. Tables             Table 1 Random Numbers             Table 2 Binomial Distribution             Table 3 Poisson Distribution             Table 4 Standard Normal Distribution             Table 5 t-Distribution             Table 6 Chi-Square Distribution             Table 7 F-Distribution             Table 8 Critical Values for the Sign Test             Table 9 Critical Values for the Wilcoxon Signed-Rank Test             Table 10 Critical Values for the Spearman Rank Correlation             Table 11 Critical Values for the Pearson Correlation Coefficient             Table 12 Critical Values for the Number of Runs Appendix C. Normal Probability Plots and Their Graphs   Answers to the Try It Yourself Exercises Odd Answers Index Photo Credits

About the Author :
Ron Larson received his PhD in mathematics from the University of Colorado in 1970. At that time he accepted a position with Penn State University, and he currently holds the rank of professor of mathematics at the University. Dr. Larson is the lead author of more than two dozen mathematics textbooks that range from sixth grade through calculus levels.   Betsy Farber received her Bachelor's degree in mathematics form Penn State University and Master's degree in mathematics from the College of New Jersey. Since 1976, she has been teaching all levels of mathematics at Bucks County Community College in Newton, Pennsylvania, where she currently holds the rank of professor. She is particularly interested in developing new ways to make statistics relevant and interesting to her students and has been teaching statistics in many different modes - with TI-83/84, with MINITAB, and by distance learning as well as in the traditional classroom.