Efnisyfirlit

• Cover
• Introduction
• About This Book
• Conventions Used in This Book
• Foolish Assumptions
• Icons Used in This Book
• Where to Go from Here
• Chapter 1: Statistics in a Nutshell
• Designing Studies
• Collecting Data
• Describing Data
• Analyzing Data
• Making Conclusions
• Chapter 2: Descriptive Statistics
• Types of Data
• Counts and Percents
• Measures of Center
• Measures of Variability
• Percentiles
• The Five-Number Summary
• Chapter 3: Charts and Graphs
• Pie Charts
• Bar Graphs
• Time Charts
• Histograms
• Boxplots
• Chapter 4: The Binomial Distribution
• Characteristics of a Binomial
• Finding Binomial Probabilities Using the Formula
• Finding Probabilities Using the Binomial Table
• The Expected Value and Variance of the Binomial
• Chapter 5: The Normal Distribution
• Basics of the Normal Distribution
• The Standard Normal (Z) Distribution
• Finding Probabilities for X
• Finding X for a Given Probability
• Normal Approximation to the Binomial
• Chapter 6: Sampling Distributions and the Central Limit Theorem
• Sampling Distributions
• Finding Probabilities for
• The Sampling Distribution of the Sample Proportion
• Finding Probabilities for
• Chapter 7: Confidence Intervals
• Making Your Best Guesstimate
• The Goal: Small Margin of Error
• Choosing a Confidence Level
• Factoring in the Sample Size
• Counting on Population Variability
• Confidence Interval for a Population Mean
• Confidence Interval for a Population Proportion
• Confidence Interval for the Difference of Two Means
• Confidence Interval for the Difference of Two Proportions
• Interpreting Confidence Intervals
• Spotting Misleading Confidence Intervals
• Chapter 8: Hypothesis Tests
• Doing a Hypothesis Test
• Testing One Population Mean
• Testing One Population Proportion
• Comparing Two Population Means
• Testing the Mean Difference: Paired Data
• Testing Two Population Proportions
• You Could Be Wrong: Errors in Hypothesis Testing
• Chapter 9: The t-Distribution
• Basics of the t-Distribution
• Understanding the t-Table
• t-Distributions and Hypothesis Tests
• t-Distributions and Confidence Intervals
• Chapter 10: Correlation and Regression
• Picturing the Relationship with a Scatterplot
• Measuring Relationships Using the Correlation
• Finding the Regression Line
• Making Predictions
• Avoid Extrapolation!
• Correlation Doesn’t Necessarily Mean Cause-and-Effect
• Chapter 11: Two-Way Tables
• Organizing and Interpreting a Two-Way Table
• Finding Probabilities within a Two-Way Table
• Checking for Independence
• Chapter 12: A Checklist for Samples and Surveys
• The Target Population Is Well Defined
• The Sample Matches the Target Population
• The Sample Is Randomly Selected
• The Sample Size Is Large Enough
• Nonresponse Is Minimized
• The Survey Is of the Right Type
• Questions Are Well Worded
• The Timing Is Appropriate
• Personnel Are Well Trained
• Proper Conclusions Are Made
• Chapter 13: A Checklist for Judging Experiments
• Experiments versus Observational Studies
• Criteria for a Good Experiment
• Inspect the Sample Size
• Examine the Subjects
• Check for Random Assignments
• Gauge the Placebo Effect
• Identify Confounding Variables
• Assess Data Quality
• Check out the Analysis
• Scrutinize the Conclusions
• Chapter 14: Ten Common Statistical Mistakes
• Misleading Graphs
• Biased Data
• No Margin of Error
• Nonrandom Samples
• Missing Sample Sizes
• Misinterpreted Correlations
• Confounding Variables
• Botched Numbers
• Selectively Reporting Results
• The Almighty Anecdote
• Appendix: Tables for Reference
• Index
• About the Author
• Advertisement Page
• Connect with Dummies
• End User License Agreement