Workshop Statistics

Workshop Statistics: Discovery with Data, a Bayesian Approach features most of the pedagogical features from the first editions of the series, ideas that have proven to be successful with instructors and students. The workshop approach fosters active learning, and eliminates the distinction between the conventional lecture and laboratory. Using this method, every student is actively engaged in learning the material through reading, thinking, discussing, computing, interpreting, and writing. This approach is also well suited to collaborative learning, and it stresses the importance of developing communication skills.

NEW to this Bayesian editions

Topics in probability, including the relative frequency and subjective interpretations, the computation of probabilities, and the interpretation of probability tables.

Use of Bayesian thinking to introduce the basic concepts of statistical inference.

Use of Web-based Javascript software (available free from the authors'Website) to illustrate probability concepts and perform Bayesian calculations.

Fathom' Dynamic Statistics, a versatile new Software learning environment for statistics that provides an easy-to-use tool for collecting, describing, exploring, and analyzing data, adds an exciting new dimension to statistics classes. Available in a Student Edition or a special Student Bundle Package as well as professional and institutional packages, visit our Website for more information and free demo download :

Contents

• Preface
• Preface to the First Edition of Workshop Statistics: Discovery with Data
• To the Instructor
• To the Student
• List of Activities
• Topic 1: Data and Variables
• Topic 2: Displaying and Describing Distributions
• Topic 3: Measures of Center
• Topic 4: Measures of Spread '
• Topic 5: Comparing Distributions
• Topic 6: Graphical Displays of Association
• Topic 7: Correlation Coefficient
• Topic 8: Least Squares Regression
• Topic 9: Relationships with Categorical Variables
• Topic 10: Random Sampling
• Topic 11: What Is a Probability?
• Topic 12: Assigning Probabilities
• Topic 13: Probability Distributions
• Topic 14: Two-Way Probability Tables
• Topic 15: Learning About Models Using Bayes's Rule
• Topic 16: Learning About a Proportion
• Topic 17: Learning About a Proportion Using Continuous Models
• Topic 18: Learning About a Mean Using Discrete Models
• Topic 19: Learning About a Mean Using Continuous Models 4
• Topic 20: Designing Experiments.
• Topic 2 1: Learning About Two Proportions
• Appendix A: Sample Survey Project
• Appendix B: Using the Computer
• Appendix C: Sources for Data Sets
• Index