Synopses & Reviews
Inside the Book:
Why CliffsNotes?
CliffsNotes Quick Review guides give you a clear, concise, easytouse 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 BasicsFast

Complete coverage of core concepts

Easy topicbytopic organization

Access hundreds of practice problems at www.cliffsnotes.com/go/quiz/statistics
Synopsis
 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 CheckIn gives readers an overview of what they'll learn in the chapter
 Chapter CheckOut 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
Introduction.
Why You Need This Book.
How to Use This Book.
Hundreds of Practice Questions Online!
Chapter 1: Overview.
Types of Statistics.
Numerical statistics.
Pictorial statistics.
Method of Statistical Inference.
Steps in the Process.
Making Predictions.
Comparing Results.
Probability.
Common Statistics Mistakes.
Chapter 2: Graphic Displays.
Bar Chart.
Pie Chart.
Dot Plot.
Ogive.
Frequency Histogram.
Relative Frequency Histogram.
Frequency Polygon.
Frequency Distribution.
StemandLeaf.
Box Plot (BoxandWhiskers).
Scatter Plot.
Chapter 3: Numerical Measures.
Measures of Central Tendency.
Mean.
Median.
Mode.
Notation and formulae.
Mean for grouped data.
Median for grouped data.
Symmetric distribution.
Skewed curves.
Measures of Variability.
Range.
Deviation and variance.
Standard deviation.
Notation.
Empirical rule: The normal curve.
Shortcut formulae.
Percentile.
Quartiles and interquartile range.
Measurement Scales.
Chapter 4: Probability.
Classic Theory.
Relative Frequency Theory.
Probability of Simple Events.
Independent Events.
Dependent Events.
Probability of Joint Occurrences.
Multiplication rule.
Addition rule.
NonMutuallyExclusive Outcomes.
DoubleCounting.
Conditional Probability.
Probability Distributions.
Discrete vs. continuous variables.
Total of probabilities of discrete variables.
The Binomial.
Binomial experiments.
Binomial table.
Mean and standard deviation.
Chapter 5: Sampling.
Populations, Samples, Parameters, and Statistics.
Sampling Distributions.
Random and Systematic Error.
Central Limit Theorem.
Properties of the Normal Curve.
Normal Approximation to the Binomial.
Chapter 6: Principles of Testing.
Stating Hypotheses.
The Test Statistic.
One and TwoTailed Tests.
Type I and II Errors.
Significance.
Point Estimates and Confidence Intervals.
Estimating a Diff erence Score.
Univariate Tests: An Overview.
Chapter 7: Univariate Inferential Tests.
OneSample ztest.
Confidence interval for population mean using z.
Choosing a sample size.
OneSample ttest.
Confi dence interval for population mean using t.
TwoSample ztest for Comparing Two Means.
TwoSample ttest for Comparing Two Means.
Confidence interval for comparing two means.
Pooled variance method.
Paired Difference ttest.
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.
Correlation.
Finding the significance of r.
The coefficient of determination.
Simple Linear Regression.
Confidence interval for the slope.
Confidence interval for prediction.
Assumptions and cautions.
ChiSquare (χ2).
Review.
Resource Center.
Glossary.
Appendix A: Common Mistakes.
Appendix B: Tables.
Index.