Synopses & Reviews
Inside the Book:
CliffsNotes Quick Review guides give you a clear, concise, easy-to-use review of the basics. Introducing each topic, defining key terms, and carefully walking you through sample problems, this guide helps you grasp and understand the important concepts needed to succeed.
Access 500 additional practice questions at www.cliffsnotes.com/go/quiz/statistics
Master the Basics-Fast
Complete coverage of core concepts
Easy topic-by-topic organization
Access hundreds of practice problems at www.cliffsnotes.com/go/quiz/statistics
- Delivers the appropriate amount of expert coverage on statistics topics for consumers who need a supplement to a standard statistics text; who need to prepare for exams; or who need to brush up on the fundamentals of statistics
- Chapter Check-In gives readers an overview of what they'll learn in the chapter
- Chapter Check-Out reviews the chapter to enforce the items learned and help with comprehension
- Review section is a summary test on all chapter topics in the book -- great tool for teachers and students
- Resource Center directs reader to additional information available for the subject such as books and websites
- 500 practice questions available online at CliffsNotes.com and directly ties to each chapter in the book!
About the Author
Scott Adams is earning his PhD in physics at Vanderbilt University. His main interest is in molecular biophysics, especially electrophysiology.
PETER Z. ORTON is Program Director of Global Curriculum Technology for IBM, designing leadership development Web sites, videos, and online simulators for IBMers globally.
Table of Contents
Why You Need This Book.
How to Use This Book.
Hundreds of Practice Questions Online!
Chapter 1: Overview.
Types of Statistics.
Method of Statistical Inference.
Steps in the Process.
Common Statistics Mistakes.
Chapter 2: Graphic Displays.
Relative Frequency Histogram.
Box Plot (Box-and-Whiskers).
Chapter 3: Numerical Measures.
Measures of Central Tendency.
Notation and formulae.
Mean for grouped data.
Median for grouped data.
Measures of Variability.
Deviation and variance.
Empirical rule: The normal curve.
Quartiles and interquartile range.
Chapter 4: Probability.
Relative Frequency Theory.
Probability of Simple Events.
Probability of Joint Occurrences.
Discrete vs. continuous variables.
Total of probabilities of discrete variables.
Mean and standard deviation.
Chapter 5: Sampling.
Populations, Samples, Parameters, and Statistics.
Random and Systematic Error.
Central Limit Theorem.
Properties of the Normal Curve.
Normal Approximation to the Binomial.
Chapter 6: Principles of Testing.
The Test Statistic.
One- and Two-Tailed Tests.
Type I and II Errors.
Point Estimates and Confidence Intervals.
Estimating a Diff erence Score.
Univariate Tests: An Overview.
Chapter 7: Univariate Inferential Tests.
Confidence interval for population mean using z.
Choosing a sample size.
Confi dence interval for population mean using t.
Two-Sample z-test for Comparing Two Means.
Two-Sample t-test for Comparing Two Means.
Confidence interval for comparing two means.
Pooled variance method.
Paired Difference t-test.
Test for a Single Population Proportion.
Confidence interval for a single population proportion.
Choosing a sample size.
Test for Comparing Two Proportions.
Confidence interval for comparing two proportions.
Chapter 8: Bivariate Relationships.
Finding the significance of r.
The coefficient of determination.
Simple Linear Regression.
Confidence interval for the slope.
Confidence interval for prediction.
Assumptions and cautions.
Appendix A: Common Mistakes.
Appendix B: Tables.