Textbook

Workshop Statistics: Discovery with Data, 4th Edition

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The Fourth Edition of Workshop Statistics: Discovery with Data continues to emphasize collaborative learning and to require student observation. Rather than describing and explaining statistics through exposition alone, Workshop Statistics: Discover with Data offers activities designed to lead students to discover statistical concepts, explore statistical principles, and apply statistical techniques. The Fourth Edition provides even more guidance and resources for students to support their active learning of statistics and includes updated real data sets with everyday applications in order to promote statistical literacy.

The seamless integration of Allan Rossman and Beth Chance's Workshop Statistics: Discover with Data, 4e with WileyPLUS, a research-based, online environment for effective teaching and learning, continues the authors' vision of building student confidence in statistics because it takes the guesswork out of studying by providing them with a clear roadmap: what to do, how to do it, and whether they did it right.

for Workshop Statistics: Discovery with Data, 4th Edition. Learn more at WileyPLUS.com

Table of Contents

Unit 1: Collecting Data and Drawing Conclusions

Topic 1: Data and Variables

Topic 2: Data and Distributions

Topic 3: Drawing Conclusions from Studies

Topic 4: Random Sampling

Topic 5: Designing Experiments

Unit 2: Summarizing Data

Topic 6: Two-Way Tables

Topic 7: Displaying and Describing Distributions

Topic 8: Measures of Center

Topic 9: Measures of Speed

Topic 10: More Summary Measures and Graphs

Unit 3: Randomness in Data

Topic 11: Probability

Topic 12: Normal Distributions

Topic 13: Sampling Distributions: Proportions

Topic 14: Sampling Distributions: Means

Topic 15: Central Limit Theorem

Unit 4: Inference from Data: Principles

Topic 16: Confidence Intervals: Proportions

Topic 17: Tests of Significance: Proportions

Topic 18: More Inference Considerations

Topic 19: Confidence Intervals: Means

Topic 20: Tests of Significance: Means

Unit 5: Inference from Data: Comparisons

Topic 21: Comparing Two Proportions

Topic 22: Comparing Two Means

Topic 23: Analyzing Paired Data

Unit 6: Inferences with Categorical Data

Topic 24: Goodness-of-Fit Tests

Topic 25: Inference for Two-Way Tables

Unit 7: Relationships in Data

Topic 26: Graphical Displays of Association

Topic 27: Correlation Coefficient

Topic 28: Least Squares Regression

Topic 29: Inference for Correlation and Regression

TABLE I Random Digits.

TABLE II Standard Normal Probabilities.

TABLE III t-Distribution Critical Values.

TABLE IV Chi-Square Distribution Critical Values.

APPENDIX A Student Glossary.

APPENDIX B Sources for Studies and Datasets.

APPENDIX C List of Data Files and Applets.

Additional Content (online only):

Topic 30: Probability Rules (online only)

Topic 31: Random Variables (online only)

Topic 32: Binomial Distribution (online only)

Topic 33: Analysis of Variance (online only)

New To This Edition

New end-of-unit online lab activities/case studies incorporate technology and introduce students to concepts of statistical inference early and repeatedly throughout the course.
Twenty percent of the in-class activities have been revised and/or updated based on instructor and student feedback. In general, the same concepts and methods are introduced but with different datasets.
Datasets have been updated throughout the text to be timelier.
Homework activities are now labeled as exercises. Approximately 25% new exercises have been added throughout the text.
Introducing each topic, preliminary questions requiring the collection of student data are now listed under a separate sub-heading. In addition, activities that revisit the issues raised in the preliminary questions are now highlighted.
To help students better understand (and use) the applets, screenshots have been annotated with explanations and guidelines.
Learning objectives are summarized at the end of each topic with references to associated activities.
Relevant photos have been added throughout the book.
In order to improve navigation, the design of the book has been significantly revised. Specifically, the Watch Out feature and the Self-Check Activities have been re-designed to better draw students’ attention.

Hallmark Features

Activities utilize the principles of student engagement and active learning and place stronger emphasis on developing students' conceptual understanding of key statistical ideas.
Focus is on real, genuine data that students generate themselves to teach the real-world relevance of statistics.
Teaches and requires group work, student writing and communication, and problem identification and solving.
Models the philosophy and conforms to the research conclusions of two important sets of studies and recommendations: Garfield's "How Students Learn Statistics" and the "GAISE Guidelines"