By Charles Henry Brase, Corrinne Pellillo Brase, Jason Dolor and, James Seibert
Guide students in overcoming apprehension and mastering statistics with Brase and Brase Understandable Statistics: Concepts and Methods, 13th Edition. This thorough, yet reader-friendly, program provides clear guidance and informal advice while emphasizing the connection between statistics and todayโs world. Current, real data is drawn from journals, periodicals, and news sources. Updated learning features and exercises strengthen critical thinking and statistical literacy. This edition emphasizes the P-value method of hypothesis testing and offers optional coverage of graphing calculators, Excelยฎ, Minitabยฎ and other statistical software. The WebAssign component for this text engages students with an interactive eTextBook and several other resources.
Table of Contents
1. Getting Started
Introduction to statistics, random sampling, and experimental design with examples and review problems.
2. Organizing Data
Explains how to summarize and visualize data using histograms, bar graphs, pie charts, and stem-and-leaf displays.
3. Averages and Variation
Covers measures of central tendency and variabilityโmean, median, mode, range, variance, and percentiles.
4. Elementary Probability Theory
Introduces probability, rules for compound events, counting methods, and probability trees.
5. The Binomial Probability Distribution and Related Topics
Focuses on discrete probability distributions, especially the binomial, geometric, and Poisson models.
6. Normal Curves and Sampling Distributions
Explores normal distributions, z-scores, areas under curves, sampling distributions, and the Central Limit Theorem.
7. Estimation
Discusses confidence intervals for means and proportions, both single and comparative.
8. Hypothesis Testing
Detailed guide to hypothesis testing for means, proportions, and differences between groups.
9. Correlation and Regression
Introduces linear correlation, simple and multiple regression, and inference for regression models.
10. Chi-Square and F Distributions
Explains chi-square tests for independence, goodness of fit, and variance testing; plus ANOVA using the F distribution.
11. Nonparametric Statistics
Covers sign tests, rank-sum tests, Spearman rank correlation, and runs tests for nonparametric analysis.
Appendices
Includes Bayesโs Theorem, Hypergeometric Distribution, Statistical Tables, and Answers to Selected Problems.
Index
Comprehensive index for quick topic navigation.
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