DescriptionThe Workshop Statistics™ series has set a standard for teaching statistics in an innovative, investigative, and accessible manner for introductory college courses, as well as for the high school statistics classroom, including AP® Statistics. In its third edition, Workshop Statistics: Discovery with Data continues to emphasize collaborative learning, require student observation, and integrate technology for gathering, recording, and synthesizing data. The third 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. This version of the text provides the most flexibility in selecting technology tools and is recommended for classrooms primarily using technologies other than graphing calculators or Fathom™ Dynamic Data software.
To the Student.
Organization of Workshop Statistics.
List of Activities by Application.
List of Activities Using Student-Generated Data.
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 Spread.
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.
- Many new activities that present students with authentic studies that address specific research questions, helping them to recognize the power of statistics to answer questions of genuine interest in everyday life
- New and updated data sets from real studies, such as fat content in ice cream brands, textbook prices, etc.
- Watch Out points added to all topics to help students develop useful statistical habits
- Self-Check Examples with detailed solutions added to all topics so students can check their work and assess their understanding
- Wrap-Up sections have been greatly expanded to provide more information about the material covered in the topic
- Additional coverage has been added on probability, random variables, the binomial distribution, and Analysis of Variance through the Web-based Student Resource Center
- An attractive new design adds visual appeal and clarifies the features as well as facilitates navigation between features and topics
- 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
- Nearly half the activities require the use of a software package or graphing calculator, but this version of the text refers to technology generically and does not provide instructions for particular software
- 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"