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Teaching Elementary Statistics with JMP

Book Description

Chris Olsen's Teaching Elementary Statistics with JMP demonstrates this powerful software, offering the latest research on "best practice" in teaching statistics and how JMP can facilitate it. Just as statistics is data in a context, this book presents JMP in a context: teaching statistics. Olsen includes numerous examples of interesting data and intersperses JMP techniques and statistical analyses with thoughts from the statistics education literature. Intended for high school-level and college-level instructors who use JMP in teaching elementary statistics, the book uniquely provides a wide variety of data sets that will be of interest to a broad range of teachers and students.

Table of Contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Contents
  5. About this Book
  6. Acknowledgments
  7. Chapter 1 - An Introduction to JMP
    1. An Introduction to the Introduction
    2. Some Stylistic Conventions
    3. Creating a New JMP Table
      1. It’s a Cheetah-Eat-Gazelle World Out There!
    4. Numbers and Pictures—Univariate Data
    5. Numbers and Pictures—Bivariate Data
    6. What Have We Learned?
    7. References
  8. Chapter 2 - Distributions
    1. Introduction
    2. Univariate Data
    3. Comparing Distributions of Data
    4. What Have We Learned?
    5. References
  9. Chapter 3 - The Analysis of Data—Univariate
    1. Introduction
    2. Espionage in the American Civil War
    3. Data One Would Give an Arm For: Blood Pressure
    4. What Have We Learned?
    5. References
  10. Chapter 4 - The Analysis of Bivariate of Data: Plots and Lines
    1. Introduction
    2. Observing Facts: Pre-Regression
    3. Crime Scene Investigation Regression: Murder Most Foul!
    4. What Have We Learned?
    5. References
  11. Chapter 5 - The Analysis of Bivariate Data—Diagnostics
    1. Introduction
    2. Outliers
    3. Influential Points
    4. Diagnosing Linearity: Transformations
    5. What Have We Learned?
    6. References
  12. Chapter 6 - Inference with Quantitative Data
    1. Introduction
    2. Inference about a Population Mean
      1. Perils of the Anterior Cruciate Ligament (ACL)
      2. Magnetic Monarchs?
    3. Inference about Means—Paired Data
      1. Monitoring Small Children
    4. Inference for Independent Means
      1. Lateralization in the Lower Species
    5. Inference for Regression
      1. Sand Scorpion versus Cockroach
    6. What Have We Learned?
    7. References
  13. Chapter 7 - Inference with Qualitative Data
    1. Introduction
    2. Inference for a Single Proportion: Pacific Salmon Migration
    3. Inference for Two Proportions: The Tooth Fairy
    4. The Chi-Square Goodness of Fit: The Supreme Court
      1. The Chi-Square Test of Independence: Race and Longevity in the Nineteenth Century
    5. The Chi-Square Test of Homogeneity of Proportions: Is Golf for the Birds?
    6. What Have We Learned?
    7. References
  14. Chapter 8 - Importing Data into JMP
    1. Introduction
    2. Looking for Data in All the Right Places
    3. Importing Microsoft Excel Spreadsheets
    4. Copying and Pasting Microsoft Excel Spreadsheets
    5. Importing Text Files
    6. Importing Data from the Internet: HTML Tables
    7. What Have We Learned?
    8. Reference
  15. Chapter 9 - JMP on the Web
    1. Introduction
    2. Interactive Learning Tools
    3. The Learning Library
    4. What Have We Learned?
  16. Index
  17. Accelerate Your SAS Knowledge with SAS Books