Understandable Statistics (13版)

Overcome any apprehension you may have as you master statistics with Brase/Brase/Seibert/Dolor's UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, 13th Edition. This thorough, yet reader-friendly, program provides clear guidance and informal advice while showing you the connections between statistics and today's world. This intriguing presentation incorporates current, real data drawn from contemporary journals, periodicals and news sources. Updated learning features and exercises help you strengthen critical-thinking skills and your statistical literacy. Optional coverage also shows you how to use graphing calculators, Excel, Minitab and other statistical software. An easy-to-use, integrated Statistical Analysis and Learning Tool (SALT) demonstrates how to manipulate data sets and better understand the meaning behind the data. In addition, online homework available through WebAssign provides videos, interactive visual data, online stats labs and other resources to guide you in learning statistics.

1. Getting Started. Introduces the subject, presents random samples and an introduction to experimental design. 2. Organizing Data. Histograms, graphs, stem-and l-leaf displays. 3. Averages and Variation. 4. Elementary Probability Theory. 5. The Binomial Probability Distribution and Related Topics. 6. Normal Curves and Sampling Distributions. Part I: Normal Distributions. Part II: Sampling Distributions and the Normal Approximation to Binomial Distribution. 7. Estimation. Part I: Estimating a Single Mean or Single Proportion. Part II: Estimating the Difference Between Two Means or Two Proportions. 8. Hypothesis Testing. Part I: Testing a Single Mean or Single Proportion. Part II: Testing a Difference Between Two Means or Two Proportions. 9. Correlation and Regression. Part I: Simple Linear Regression. Part II: Multiple Regression. 10. Chi-Square and F Distributions. Part I: Inferences Using the Chi-Square Distribution. Part II: Inferences Using the F Distribution. 11. Nonparametric Statistics. Appendix includes brief discussion of Bayes' Theorem and Hypergeometric Distribution.