Now you can master the basics of statistics and learn how to use this knowledge in real life situations with Brase/Brase/Dolor/Siebert’s UNDERSTANDING BASIC STATISTICS, 9th Edition. This updated edition uses a reader-friendly approach filled with clear guidance and informal advice designed to help you grasp the concepts and see how they relate to your life. You learn to think statistically and perhaps even enjoy a subject that once inspired anxiety. Updates, learning features and real data from a variety of sources, including journals and news sources, keep learning interesting as you refine your critical thinking and statistical skills. Optional coverage demonstrates how to use graphing calculators, Microsoft® Excel®, JMP®, MINITAB®, MINITAB EXPRESS and SPSS®. Complete online resources include labs, projects and videos as part of WebAssign. The Statistical Analysis and Learning Tool (SALT) is also available to help you manipulate data sets and visualize statistics and the meaning behind the data.
1. GETTING STARTED.
What Is Statistics? Random Samples. Introduction to Experimental Design.
2. ORGANIZING DATA.
Frequency Distributions, Histograms, and Related Topics. Bar Graphs, Circle Graphs, and Time-Series Graphs. Stem-and-Leaf Displays.
3. AVERAGES AND VARIATION.
Measures of Central Tendency: Mode, Median, and Mean. Measures of Variation. Percentiles and Box-and-Whisker Plots.
4. CORRELATION AND REGRESSION.
Scatter Diagrams and Linear Correlation. Linear Regression and the Coefficient of Determination.
5. ELEMENTARY PROBABILITY THEORY.
What Is Probability? Some Probability Rules-Compound Events. Trees and Counting Techniques.
6. THE BINOMIAL DISTRIBUTION AND RELATED TOPICS.
Introduction to Random Variables and Probability Distributions. Binomial Probabilities. Additional Properties of the Binomial Distribution.
7. NORMAL CURVES AND SAMPLING DISTRIBUTIONS.
Part I: Graphs of Normal Probability Distributions. Standard Units and Areas under the Standard Normal Distribution. Areas Under Any Normal Curve. Part II: Sampling Distributions. The Central Limit Theorem. Normal Approximation to Binomial Distribution and to p ̂Distribution.
8. ESTIMATION.
Estimating µ When σ Is Known. Estimating µ When σ Is Unknown. Estimating p in the Binomial Distribution.
9. HYPOTHESIS TESTING.
Introduction to Statistical Tests. Testing the Mean µ. Testing a Proportion p.
10. INFERENCES ABOUT DIFFERENCES.
Tests Involving Paired Differences (Dependent Samples). Inferences about the Difference of Two Means µ1 − µ2. Inferences about the Difference of Two Proportions p1 − p2.
11. ADDITIONAL TOPICS USING INFERENCE.
Part I: Inferences Using the Chi-Square Distribution.
Overview of the Chi-Square Distribution. Chi-Square: Tests of Independence and of Homogeneity. Chi-Square: Goodness of Fit. Testing a Single Variance or Standard Deviation.
Part II: Inferences Relating to Linear Regression.
Inferences for Correlation and Regression.
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Charles Henry Brase
Charles Brase had more than 30 years of full-time teaching experience in mathematics and statistics. He taught at the University of Hawaii, Manoa Campus, for several years and at Regis University in Denver, Colorado, for more than 28 years. Charles received the Excellence in Teaching award from the University of Hawaii and the Faculty Member of the Year award from Regis University on two occasions. He earned his Ph.D. and M.A. in mathematics and his B.A. in physics from the University of Colorado, Boulder.
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Corrinne Pellillo Brase
Corrinne Pellillo Brase has taught at Hawaii Pacific College, Honolulu Community College and Arapahoe Community College in Littleton, Colorado. She was also involved in the mathematics component of an equal opportunity program at the University of Colorado. Ms. Brase received the Faculty of the Year award from Arapahoe Community College. She earned degrees from the University of Colorado, Boulder, including an M.A. and B.A. in mathematics.
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UPDATES EMPHASIZE DIVERSITY WITH INCLUSIVE LANGUAGE THAT’S WELCOMING FOR ALL READERS. The authors have carefully edited this edition to ensure inclusiveness and diversity in the examples and explanations used throughout.
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NEW EXAMPLES AND EXERCISES REFLECT TODAY’S SITUATIONS AND CHALLENGES. Examples and exercises include relatable, timely content that appeals to today’s students and demonstrates the relevance of what they are learning.
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MORE WEBASSIGN EXERCISES AND INTERACTIVE SIMULATIONS PROVIDE HANDS-ON PRACTICE WORKING WITH STATISTICS. The authors have added more exercises to this edition which are also available in WebAssign. In addition, new interactive simulations allow students to more deeply engage with statistical concepts.
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UPDATES TO “CRITICAL THINKING” AND “VIEWPOINT” ACTIVITIES SUPPORT LEARNING. Revised and new activities throughout this edition support your students’ mastery of statistical concepts. Students learn how to apply the skills they are learning to challenges both in the classroom and in real, daily life.
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STATISTICAL ANALYSIS AND LEARNING TOOL (SALT) PROVIDES AN EASYTO-USE DATA ANALYSIS RESOURCE. SALT enables introductory statistics students to engage in data manipulation, analysis, and interpretation without getting bogged down in complex computations. Accompanying exercises in WebAssign utilize SALT.
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MEANINGFUL INFORMATION FROM “EXPAND YOUR KNOWLEDGE” PROBLEM SECTIONS IS NOW INTEGRATED THROUGHOUT THE TEXT. The authors have streamlined content to ensure all exercises address topics covered in the text. Separate “Expand Your Knowledge” section no longer appears in this edition to address additional topics
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