A condensed and more streamlined version of Brase and Brase's bestselling UNDERSTANDABLE STATISTICS, Eleventh Edition, this book offers an effective way to learn the essentials of statistics, including early coverage of regression, within a more limited time frame. Designed to help learners overcome their apprehension about statistics, UNDERSTANDING BASIC STATISTICS provides plenty of guidance and informal advice as it demonstrates the links between statistics and the real world. Thorough yet abbreviated, the book offers a reader-friendly style and a complete technology package to supplement learning. It covers the use of the graphing calculator, Microsoft Excel, MINITAB, and SPSS, and is packaged with JMP statistical software.
About the Author
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. 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 degrees from the University of Colorado, Boulder, and has a Ph.D. in Mathematics, an M.A. in Mathematics, and a B.A. in Physics.
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. Corrinne received the Faculty of the Year award from Arapahoe Community College. She earned degrees from the University of Colorado, Boulder, and has an M.A. and B.A. in Mathematics.
Table of Contents
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 WhenIs 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.