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Understanding Basic Statistics, International Metric Edition, 7th Edition

Charles Henry Brase, Corrinne Pellillo Brase

Copyright 2017
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Understanding Basic Statistics, International Metric Edition 7th Edition by Charles Henry Brase/Corrinne Pellillo Brase

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Overview
Meet the Authors
What's New
Features
Table of Contents
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Overview

Help students overcome their apprehension about statistics with Brase and Brase's UNDERSTANDING BASIC STATISTICS, ENHANCED, 7E, INTERNATIONAL METRIC EDITION. A condensed and more streamlined version of the same authors' bestselling UNDERSTANDABLE STATISTICS, 11E, this book offers instructors an effective way to teach the essentials of statistics, including early coverage of regression, within a more limited time frame. Thorough yet abbreviated, the text helps students realize the real-world significance of statistics, and offers an accessible exposition and a complete technology package. The Seventh Edition addresses the growing importance of developing students' critical thinking and statistical literacy skills with critical thinking features and new exercises throughout the text. The use of the graphing calculator, Microsoft® Excel®, MINITAB®, and SPSS® is covered but not required. The text is packaged with JMP® statistical software.

Meet the Authors

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Charles Henry Brase

Charles Brase has 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. Dr. Brase 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 degrees from the University of Colorado, Boulder, and he holds a Ph.D. and an M.A. in mathematics and a B.A. in physics.

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. Professor Brase received the Faculty of the Year award from Arapahoe Community College. She earned her degrees from the University of Colorado, Boulder, and she holds an M.A. and a B.A. in mathematics.

What's New

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New copies of the text are packaged with JMP® statistical software.
"What Does . . . Tell Us?" and "Important Features of a . . ." provide brief, just-in-time summaries of key concepts.
New examples and exercises help to keep the material fresh, timely, and relevant.
The book's exposition has been tightened and simplified wherever possible.

Features

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Up-to-date technology-related examples include instruction appropriate for the latest versions of MINITAB®, SPSS®, and Excel®. Denoted by icons in the text, "Tech Notes" provide best practices and accompanying screenshots to assist students who are using these programs. "Using Technology" sections at the end of each chapter present problems with real-world data from a variety of disciplines.
Critical Thinking boxes at the end of most sections help students hone their critical thinking skills by providing additional clarification on specific statistical concepts as a safeguard against incorrect evaluation of information.
Interpretation boxes in several chapters help students refine their critical thinking and analysis skills by providing them with practice in explaining their statistical results in the context of a particular application.
Guided exercises immediately follow selected examples and provide an opportunity for students to explore new concepts. Step-by-step solutions accompanying each exercise allow for immediate self-evaluation and reinforcement.
"Expand Your Knowledge" problems present the geometric mean and the harmonic mean, moving averages, correlation of averages, odds for and odds against, uniform probability distribution, plus four methods for confidence intervals, probability of two confidence intervals, and serial correlation.
Special margin notes draw attention to more information about a related topic that appears in the "Expand Your Knowledge" exercises at the end of the section, allowing you to cover additional material as desired and enabling students to learn more about topics they find especially interesting or difficult to grasp.

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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.
Graphs of Normal Probability Distributions. Standard Units and Areas under the Standard Normal Distribution. Areas under Any Normal Curve. 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.