CliffsNotes Statistics Quick Review, 2nd Edition

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CliffsNotes Statistics Quick Review, 2nd Edition

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Inside the Book:

  • Graphic displays
  • Numerical measures
  • Probability
  • Sampling
  • Principles of testing
  • Univariate inferential tests
  • Bivariate relationships
  • Review questions
  • Resource center
  • Glossary
  • Common mistakes
  • Tables

Why CliffsNotes?

  • Go with the name you know and trust
  • Get the information you need-fast!

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

Master the Basics–Fast

  • Complete coverage of core concepts
  • Easy topic-by-topic organization
  • Access hundreds of practice problems at
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Product Details

  • ISBN-13: 9780470902608
  • Publisher: Houghton Mifflin Harcourt
  • Publication date: 5/31/2011
  • Edition number: 2
  • Pages: 176
  • Sales rank: 473,212
  • Product dimensions: 5.20 (w) x 8.20 (h) x 0.50 (d)

Meet the Author

Scott  Adams

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.

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    1. Hometown:
      Danville, California
    1. Date of Birth:
      June 8, 1957
    2. Place of Birth:
      Catskill, New York
    1. Education:
      B.A., Hartwick College, 1979; M.B.A., University of California, Berkeley, 1986

Table of Contents


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.


Common Statistics Mistakes.

Chapter 2: Graphic Displays.

Bar Chart.

Pie Chart.

Dot Plot.


Frequency Histogram.

Relative Frequency Histogram.

Frequency Polygon.

Frequency Distribution.


Box Plot (Box-and-Whiskers).

Scatter Plot.

Chapter 3: Numerical Measures.

Measures of Central Tendency.




Notation and formulae.

Mean for grouped data.

Median for grouped data.

Symmetric distribution.

Skewed curves.

Measures of Variability.


Deviation and variance.

Standard deviation.


Empirical rule: The normal curve.

Shortcut formulae.


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.

Non-Mutually-Exclusive Outcomes.


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 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.

One-Sample z-test.

Confidence interval for population mean using z.

Choosing a sample size.

One-Sample t-test.

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.

Chi-Square (χ2).


Resource Center.


Appendix A: Common Mistakes.

Appendix B: Tables.


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