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CliffsNotes Statistics Quick Review, 2nd Edition

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CliffsNotes Statistics Quick Review, 2nd Edition

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Overview

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 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
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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: 343,518
  • Product dimensions: 5.20 (w) x 8.20 (h) x 0.50 (d)

Meet 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.

Biography

Back when he was a lowly office worker slaving under fluorescent lights and drinking bad coffee at an unsatisfying string of office jobs, Scott Adams would try to stave off some of the mind-numbing boredom he faced each day by doodling a little comic strip about a hapless office drone he called Dilbert. As he worked, Adams filed away the fodder for his fledgling comic strip. Today, Dilbert is officially an empire -- and Adams is the CEO.

Adams didn't start his career path intending to become a workplace warrior. As he told FamousVeggie.com, he graduated high-school as valedictorian "because the other 39 people in my class couldn't spell ‘valedictorian.'" After earning a B.A. in economics at Hartwick College in Oneonta, New York, Adams went on to earn an M.B.A. at the University of California at Berkeley. Adding an interesting twist to his education, he also managed to pick up a Certified Hypnotist diploma from the Clement School of Hypnosis in 1981.

After college, during his often-brief tenure at a series of low-paying, low-on-the-totem-pole jobs at corporations from Crocker National Bank in San Francisco to Pacific Bell in San Ramon, Adams started to wonder if his sanity-saving doodles really could rescue him from a life spent working for The Man. Acting on a tip from a kindly fellow cartoonist, he picked up the 1988 Artist Markets guide and simply followed the instructions on how to get syndicated. He mailed out fifty sample Dilbert strips, and was offered a contract by United Media within weeks.

Adams's first attempt writing an actual book was 1996's The Dilbert Principle, which became a number one New York Times bestseller and one of the top-selling business books of all time. More than just a compilation of Adams's cartoons, the book included essays on the trials and tribulations of corporate culture. "Each one is on target and deliciously sardonic," said Booklist in its review. "Sometimes too true to be funny." Today, the strip continues its clip as the fastest-growing cartoon of all time, and is enjoyed daily by 150 million people in 1,900 newspapers, in 56 countries.

Transitioning from comic compilations to full books was a challenge for Adams. As he admitted to Salon.com, "Drawing the comic strip is fun -- it can actually increase my energy. I feel good when I'm doing it, and I feel good when it's done. But writing just sucks the energy right out of me. I find that after about an hour of writing sometimes I have to jump on the floor and fall asleep, right now. It's so much harder than it looks."

When he's not helping Dilbert bring a smile to the faces of the working wounded, Adams moonlights as a restaurateur, running two successful Stacey's Cafés in Northern California. He has also founded the Scott Adams Foods company, home of the Dilberito™ -- a protein-packed burrito perfect for the office microwave.

Good To Know

Adams describes himself as a "a cat-loving, vegetarian tennis player."

His past jobs include bank teller, computer programmer, financial analyst, product manager, loan officer, corporate strategist, and pseudo-engineer. Says Adams, "I was incompetent in each of those fields, but for some reason no one ever noticed."

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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

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.

Stem-and-Leaf.

Box Plot (Box-and-Whiskers).

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.

Non-Mutually-Exclusive Outcomes.

Double-Counting.

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.

Significance.

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.

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.

Chi-Square (χ2).

Review.

Resource Center.

Glossary.

Appendix A: Common Mistakes.

Appendix B: Tables.

Index.

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