Skip to main content

Workshop Statistics: Discovery with Data, 4th Edition



Workshop Statistics: Discovery with Data, 4th Edition

Allan J. Rossman, Beth L. Chance

ISBN: 978-1-118-21483-1 October 2011 752 Pages

E-Book Rental (120 Days)
E-Book Rental (150 Days)
WileyPLUS improves outcomes with robust practice problems and feedback, fosters engagement with course content and educational videos, and gives students the flexibility to increase confidence as they learn and prepare outside of class.
Download Product Flyer

Download Product Flyer

Download Product Flyer is to download PDF in new tab. This is a dummy description. Download Product Flyer is to download PDF in new tab. This is a dummy description. Download Product Flyer is to download PDF in new tab. This is a dummy description. Download Product Flyer is to download PDF in new tab. This is a dummy description.


Allan Rossman's 4th Edition of Workshop Statistics: Discovery with Data is enhanced from previous issues with more focus and emphasis on collaborative learning. It further requires student observation, and integrates technology for gathering, recording, and synthesizing data. The text offers more flexibility in selecting technology tools for classrooms primarily using technologies other than graphing calculators or Fathom Dynamic Data software. Furthermore, it presents more standards for teaching statistics in an innovative, investigative, and accessible as well as provides in-depth guidance and resources to support active learning of statistics and includes updated real data sets with everyday applications in order to promote statistical literacy.

Related Resources

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 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.
  • 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"