0%

Book Description

Statistics Essentials For Dummies (9781119590309) was previously published as Statistics Essentials For Dummies (9780470618394). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product.

Statistics Essentials For Dummies not only provides students enrolled in Statistics I with an excellent high-level overview of key concepts, but it also serves as a reference or refresher for students in upper-level statistics courses. Free of review and ramp-up material, Statistics Essentials For Dummies sticks to the point, with content focused on key course topics only. It provides discrete explanations of essential concepts taught in a typical first semester college-level statistics course, from odds and error margins to confidence intervals and conclusions. This guide is also a perfect reference for parents who need to review critical statistics concepts as they help high school students with homework assignments, as well as for adult learners headed back into the classroom who just need a refresher of the core concepts.

The Essentials For Dummies Series
Dummies is proud to present our new series, The Essentials For Dummies. Now students who are prepping for exams, preparing to study new material, or who just need a refresher can have a concise, easy-to-understand review guide that covers an entire course by concentrating solely on the most important concepts. From algebra and chemistry to grammar and Spanish, our expert authors focus on the skills students most need to succeed in a subject.

Table of Contents

  1. Cover
  2. Introduction
    1. About This Book
    2. Conventions Used in This Book
    3. Foolish Assumptions
    4. Icons Used in This Book
    5. Where to Go from Here
  3. Chapter 1: Statistics in a Nutshell
    1. Designing Studies
    2. Collecting Data
    3. Describing Data
    4. Analyzing Data
    5. Making Conclusions
  4. Chapter 2: Descriptive Statistics
    1. Types of Data
    2. Counts and Percents
    3. Measures of Center
    4. Measures of Variability
    5. Percentiles
    6. The Five-Number Summary
  5. Chapter 3: Charts and Graphs
    1. Pie Charts
    2. Bar Graphs
    3. Time Charts
    4. Histograms
    5. Boxplots
  6. Chapter 4: The Binomial Distribution
    1. Characteristics of a Binomial
    2. Finding Binomial Probabilities Using the Formula
    3. Finding Probabilities Using the Binomial Table
    4. The Expected Value and Variance of the Binomial
  7. Chapter 5: The Normal Distribution
    1. Basics of the Normal Distribution
    2. The Standard Normal (Z) Distribution
    3. Finding Probabilities for X
    4. Finding X for a Given Probability
    5. Normal Approximation to the Binomial
  8. Chapter 6: Sampling Distributions and the Central Limit Theorem
    1. Sampling Distributions
    2. Finding Probabilities for
    3. The Sampling Distribution of the Sample Proportion
    4. Finding Probabilities for
  9. Chapter 7: Confidence Intervals
    1. Making Your Best Guesstimate
    2. The Goal: Small Margin of Error
    3. Choosing a Confidence Level
    4. Factoring in the Sample Size
    5. Counting on Population Variability
    6. Confidence Interval for a Population Mean
    7. Confidence Interval for a Population Proportion
    8. Confidence Interval for the Difference of Two Means
    9. Confidence Interval for the Difference of Two Proportions
    10. Interpreting Confidence Intervals
    11. Spotting Misleading Confidence Intervals
  10. Chapter 8: Hypothesis Tests
    1. Doing a Hypothesis Test
    2. Testing One Population Mean
    3. Testing One Population Proportion
    4. Comparing Two Population Means
    5. Testing the Mean Difference: Paired Data
    6. Testing Two Population Proportions
    7. You Could Be Wrong: Errors in Hypothesis Testing
  11. Chapter 9: The t-Distribution
    1. Basics of the t-Distribution
    2. Understanding the t-Table
    3. t-Distributions and Hypothesis Tests
    4. t-Distributions and Confidence Intervals
  12. Chapter 10: Correlation and Regression
    1. Picturing the Relationship with a Scatterplot
    2. Measuring Relationships Using the Correlation
    3. Finding the Regression Line
    4. Making Predictions
    5. Avoid Extrapolation!
    6. Correlation Doesn’t Necessarily Mean Cause-and-Effect
  13. Chapter 11: Two-Way Tables
    1. Organizing and Interpreting a Two-Way Table
    2. Finding Probabilities within a Two-Way Table
    3. Checking for Independence
  14. Chapter 12: A Checklist for Samples and Surveys
    1. The Target Population Is Well Defined
    2. The Sample Matches the Target Population
    3. The Sample Is Randomly Selected
    4. The Sample Size Is Large Enough
    5. Nonresponse Is Minimized
    6. The Survey Is of the Right Type
    7. Questions Are Well Worded
    8. The Timing Is Appropriate
    9. Personnel Are Well Trained
    10. Proper Conclusions Are Made
  15. Chapter 13: A Checklist for Judging Experiments
    1. Experiments versus Observational Studies
    2. Criteria for a Good Experiment
    3. Inspect the Sample Size
    4. Examine the Subjects
    5. Check for Random Assignments
    6. Gauge the Placebo Effect
    7. Identify Confounding Variables
    8. Assess Data Quality
    9. Check out the Analysis
    10. Scrutinize the Conclusions
  16. Chapter 14: Ten Common Statistical Mistakes
    1. Misleading Graphs
    2. Biased Data
    3. No Margin of Error
    4. Nonrandom Samples
    5. Missing Sample Sizes
    6. Misinterpreted Correlations
    7. Confounding Variables
    8. Botched Numbers
    9. Selectively Reporting Results
    10. The Almighty Anecdote
  17. Appendix: Tables for Reference
  18. Index
  19. About the Author
  20. Advertisement Page
  21. Connect with Dummies
  22. End User License Agreement
3.144.252.140