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Statistics need not be dull and dry! Engage and inspire your students with Statistics Alive! Presenting essential content on statistical analysis in short, digestible modules, this text is written in a conversational tone with anecdotal stories and light-hearted humor; it’s an enjoyable read that will ensure your students are always prepared for class.

Students are shown the underlying logic to what they're learning, and well-crafted practice and self-check features help ensure that that new knowledge sticks. Coverage of probability theory and mathematical proofs is complemented by expanded conceptual coverage. In the Third Edition, new coauthor Matthew Price includes simplified practice problems and increased coverage of conceptual statistics, integrated discussions of effect size with hypothesis testing, and new coverage of ethical practices for conducting research.

Give your students the SAGE Edge!

SAGE Edge offers a robust online environment featuring an impressive array of free tools and resources for review, study, and further exploration, keeping both instructors and students on the cutting edge of teaching and learning. Learn More.

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Statistics Alive!, Third Edition + Student Study Guide
ISBN: 978-1-0718-3088-8

Part I. Preliminary Information: “First Things First”
1. Math Review, Vocabulary, and Symbols
2. Measurement Scales
Part II. Tables and Graphs: “On Display”
3. Frequency and Percentile Tables
4. Graphs and Plots
Part III. Central Tendency: “Bull’s-Eye”
5. Mode, Median, and Mean
Part IV. Dispersion: “From Here to Eternity”
6. Range, Variance, and Standard Deviation
Part V. The Normal Curve and Standard Scores: “What’s the Score?”
7. Percent Area and the Normal Curve
8. z Scores
9. Score Transformations and Their Effects
Part VI. Probability: “Odds Are”
10. Probability Definitions and Theorems
11. The Binomial Distribution
Part VII. Inferential Theory: “Of Truth and Relativity”
12. Sampling, Variables, and Hypotheses
13. Errors and Significance
14. The z Score as a Hypothesis Test
Part VIII. The One-Sample Test: “Are They From Our Part of Town?”
15. Standard Error of the Mean
16. Normal Deviate Z Test
17. One-Sample t Test
18. Interpreting and Reporting One-Sample t: Error, Confidence, and Parameter Estimates
Part IX. The Two-Sample Test: “Ours Is Better Than Yours”
19. Standard Error of the Difference Between the Means
20. t Test With Independent Samples and Equal Sample Sizes
21. t Test With Unequal Sample Sizes
22. t Test With Related Samples
23. Interpreting and Reporting Two-Sample t: Error, Confidence, and Parameter Estimates
Part X. The Multisample Test: “Ours Is Better Than Yours or Theirs”
24. ANOVA Logic: Sums of Squares, Partitioning, and Mean Squares
25. One-Way ANOVA: Independent Samples and Equal Sample Sizes
Part XI. Post Hoc Tests: “So Who’s Responsible?”
26. Tukey HSD Test
27. Scheffé Test
Part XII. More Than One Independent Variable: “Double Dutch Jump Rope”
28. Main Effects and Interaction Effects
29. Factorial ANOVA
Part XIII. Nonparametric Statistics: “Without Form or Void”
30. One-Variable Chi-Square: Goodness of Fit
31. Two-Variable Chi-Square: Test of Independence
Part XIV. Effect Size and Power: “How Much Is Enough?”
32. Measures of Effect Size
33. Power and the Factors Affecting It
Part XV. Correlation: “Whither Thou Goest, I Will Go”
34. Relationship Strength and Direction
35. Pearson r
36. Correlation Pitfalls
Part XVI. Linear Prediction: “You’re So Predictable”
37. Linear Prediction
38. Standard Error of Prediction
39. Introduction to Multiple Regression
Part XVII. Review: “Say It Again, Sam”
40. Selecting the Appropriate Analysis


Instructor Resource Site

SAGE Edge for instructors
supports your teaching by making it easy to integrate quality content and create a rich learning environment for students with:
  • A password-protected site for complete and protected access to all text-specific instructor resources.
  • A test bank that provides a diverse range of ready-to-use options that save you time. You can also easily edit any question and/or insert your own personalized questions.
  • Instructor’s Manual includes suggested teaching strategies, additional learning exercises to help plan and enhance your course, as well as case notes to assist in integrating the cases into your coursework.
  • Editable, chapter-specific PowerPoint® slides that offer complete flexibility for creating a multimedia presentation for your course.
  • Sample syllabi included for semester, quarter, and online courses.
  • Lecture notes that summarize key concepts by chapter to help you prepare for lectures and class discussions.
  • Chapter-specific discussion questions to help launch engaging classroom interaction while reinforcing important content.
  • Class assignments which allow students to delve more deeply into subject matter.
  • Solutions to chapter exercises cover key concepts, and may be used for individual or group settings.
  • Video and multimedia links that can be used in the classroom to appeal to diverse learners.

Student study site
SAGE Edge for students enhances learning, it’s easy to use, and offers:
  • An open-access site that makes it easy for students to maximize their study time, anywhere, anytime.
  • eFlashcards that strengthen understanding of key terms and concepts.
  • Chapter summaries with learning objectives that reinforce the most important material.
  • SPSS Data Sets and variable lists.

Key features
  • More emphasis on the concepts behind statistics, not just the theory and equations, help students understand the meaning and applications of statistics in the real world.
  • The number of exercises has doubled from the previous edition, giving students additional practice.
  • An introduction to multiple regression and the General Linear Model (GLM) has been streamlined and is presented conceptually only, with examples in SPSS.
  • Examples are not only solved manually within the textbook narrative, but also shown as software output in the new “SPSS Connection” sections. These sections show output as the student would see it and give detailed instructions for obtaining the output, making a separate SPSS instruction manual unnecessary.
  • Answers to odd-numbered exercises are provided at the end of the textbook for the student’s convenience, with answers to the even-numbered exercises reserved for the instructor.
  • More attention is given to the rationale and theory behind hypothesis testing, with a reduction on the focus of computation by hand.
  • The discussion of confidence intervals and interval estimates has been expanded throughout the text.
  • Additional graphing features like whisker and box plots give students more ways to display their data.


  • The modular format of the text breaks content into digestible components.
  • Each module begins with a set of learning objectives and a list of terms and symbols provide both a scaffold for what to expect of that day’s reading and a reference for finding key information.
  • Check Yourself! boxes throughout the text reinforce learning soon after key concepts have been taught.
  • Practice exercises are dispersed throughout the modules as subtopics covered.
  • Stress-busting cartoons are dispersed throughout while quips in the margin sidebars, presented as associated topics, appeal to the quick-transitions learning style of today’s student.

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ISBN: 9781544328263