Efnisyfirlit

• Cover
• Introduction
  • About This Book
  • Foolish Assumptions
  • Icons Used in This Book
  • Beyond the Book
  • Where to Go from Here
• Part 1: Getting Off to a Statistically Significant Start
  • Chapter 1: Summarizing Categorical Data: Counts and Percents
    • Counting On the Frequency
    • Relating with Percentages
    • Interpreting Counts and Percents with Caution
    • Answers to Problems in Summarizing Categorical Data
  • Chapter 2: Summarizing Quantitative Data: Means, Medians, and More
    • Finding and Interpreting Measures of Center
    • Finding and Interpreting Measures of Spread
    • Using Percentiles and the Interquartile Range
    • Answers to Problems in Summarizing Quantitative Data
  • Chapter 3: Organizing Categorical Data: Charts and Graphs
    • Making, Interpreting, and Evaluating Pie Charts
    • Making, Interpreting, and Evaluating Bar Graphs
    • Answers to Problems in Organizing Categorical Data
  • Chapter 4: Organizing Quantitative Data: Charts and Graphs
    • Creating a Histogram
    • Making Sense of Histograms
    • Straightening Out Skewed Data
    • Spotting a Misleading Histogram
    • Making Box Plots
    • Interpreting Box Plots
    • Looking at Line Graphs
    • Understanding the Empirical Rule
    • Answers to Problems in Organizing Quantitative Data
• Part 2: Probability, Distributions, and the Central Limit Theorem (Are You Having Fun Yet?)
  • Chapter 5: Understanding Probability Basics
    • Grasping the Rules of Probability
    • Avoiding Probability Misconceptions
    • Making Predictions Using Probability
    • Answers to Problems in Probability
  • Chapter 6: Measures of Relative Standing and the Normal Distribution
    • Mastering the Normal Distribution
    • Finding and Interpreting Standard (Z) Scores
    • Knowing Where You Stand with Percentiles
    • Finding Probabilities for a Normal Distribution
    • Finding the Percentile (Backwards Normal)
    • Answers to Problems in Normal Distribution
  • Chapter 7: The Binomial Distribution
    • Characterizing the Binomial Distribution
    • Finding Probabilities Using the Binomial Formula for small n
    • Finding Probabilities Using the Binomial Table for Medium-Sized n
    • Calculating the Mean and Variance of the Binomial
    • Estimating Probabilities in Large Cases — the Normal Approximation
    • Answers to Problems in the Binomial Distribution
  • Chapter 8: The t-Distribution
    • Getting to Know the t-Distribution
    • Working with the t-Table and Degrees of Freedom
    • Answers to Problems in the t-Distribution
  • Chapter 9: Demystifying Sampling Distributions and the Central Limit Theorem
    • Exactly What Is a Sampling Distribution?
    • Clearing Up the Central Limit Theorem (Once and for All)
    • Finding Probabilities with the Central Limit Theorem
    • When Your Sample’s Too Small: Employing the t-Distribution
    • Answers to Problems in Sampling Distributions and the Central Limit Theorem
• Part 3: Guesstimating and Hypothesizing with Confidence
  • Chapter 10: Making Sense of Margin of Error
    • Reviewing Margin of Error
    • Calculating the Margin of Error for Means and Proportions
    • Increasing and Decreasing Margin of Error
    • Interpreting Margin of Error Correctly
    • Answers to Problems in Making Sense of Margin of Error
  • Chapter 11: Calculating Confidence Intervals
    • Walking through a Confidence Interval
    • Deriving a Confidence Interval for a Population Mean
    • Figuring a Confidence Interval for a Population Proportion
    • Calculating a Confidence Interval for the Difference of Two Means
    • Computing a Confidence Interval for the Difference of Two Proportions
    • Answers to Problems in Calculating Confidence Intervals
  • Chapter 12: Deciphering Your Confidence Interval
    • Interpreting Confidence Intervals the Right Way
    • Evaluating Confidence Interval Results: What the Formulas Don’t Tell You
    • Answers to Problems in Confidence Intervals
  • Chapter 13: Testing Hypotheses
    • Walking Through a Hypothesis Test
    • Testing a Hypothesis about a Population Mean
    • Testing a Hypothesis about a Population Proportion
    • Testing for a Difference between Two Population Means
    • Testing for a Mean Difference (Paired t-Test)
    • Testing a Hypothesis about Two Population Proportions
    • Answers to Problems in Testing Hypotheses
  • Chapter 14: Taking the Guesswork Out of p-Values and Type I and II Errors
    • Understanding What p-Values Measure
    • Test (Statistic) Time: Figuring Out p-Values
    • The Value Breakdown: Interpreting p-Values Properly
    • Deciphering Type I Errors
    • Deciphering and Distinguishing Type II Errors
    • Answers to Problems in p-Values and Type I and II Errors
• Part 4: Statistical Studies and the Hunt for a Meaningful Relationship
  • Chapter 15: Examining Polls and Surveys
    • Planning and Designing a Survey
    • Selecting a Random Sample
    • Carrying Out a Survey Properly
    • Interpreting and Evaluating Survey Results
    • Answers to Problems in Polls and Surveys
  • Chapter 16: Evaluating Experiments
    • Distinguishing Experiments from Observational Studies
    • Designing a Good Experiment
    • Looking for Cause and Effect: Interpreting Experiment Results
    • Answers to Problems in Evaluating Experiments
  • Chapter 17: Looking for Links in Categorical Data: Two-Way Tables
    • Understanding Two-Way Tables Inside and Out
    • Working with Intersection, Unions, and the Addition Rule
    • Figuring Marginal Probabilities
    • Nailing Down Conditional Probabilities and the Multiplication Rule
    • Inspecting the Independence of Categorical Variables
    • Answers to Problems in Two-Way Tables
  • Chapter 18: Searching for Links in Quantitative Data: Correlation and Regression
    • Relating X and Y with a Scatterplot
    • Toeing the Line of Correlation
    • Picking Out the Best Fitting Regression Line
    • Interpreting the Regression Line and Making Predictions
    • Checking the Fit of the Regression Line
    • Answers to Problems in Correlation and Regression
• Part 5: The Part of Tens
  • Chapter 19: Math Review: Ten Steps to a Better Grade
    • Know Your Math Symbols
    • Uproot Roots and Powers
    • Treat Fractions with Extra Care
    • Obey the Order of Operations
    • Avoid Rounding Errors
    • Get Comfortable with Formulas
    • Stay Calm When Formulas Get Tough
    • Feel Fine about Functions
    • Know When Your Answer Is Wrong
    • Show Your Work
  • Chapter 20: Top Ten Statistical Formulas
    • Mean (or Average)
    • Median
    • Sample Standard Deviation
    • Correlation
    • Margin of Error for the Sample Mean
    • Sample Size Needed for Estimating μ
    • Test Statistic for the Mean
    • Margin of Error for the Sample Proportion
    • Sample Size Needed for Estimating p
    • Test Statistic for the Proportion
  • Chapter 21: Ten Ways to Spot Common Statistical Mistakes
    • Scrutinizing Graphs
    • Searching for and Specifying Bias
    • Marking the Margin of Error
    • Scanning for Sample Size
    • Studying Sample Selection (Gotta Be Random)
    • Checking for Confounding Variables
    • Considering Correlation
    • Doing the Math
    • Detecting Selective Reporting
    • Avoiding the Anecdote
• Appendix: Tables for Reference
  • Z-Table
  • t-Table
  • Binomial Table
• Index
• About the Author
• Advertisement Page
• Connect with Dummies
• End User License Agreement

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