Workshop Statistics: Discovery Through Data is one of the most successful new textbooks in recent years, emphasizing a hands-on, laboratory approach to introductory statistics. For this version author Allan Rossman is joined by Beth Chance, University of the Pacific, and in it they incorporate Minitab commands and worksheets. This new package consists of the Rossman and Chance textbook: Workshop Statistics: Discovery with Data and Minitab, and a complete Student Version of Minitab, release 12. The specially priced package will be of interest to students using Minitab in their statistics courses, and wishing to purchase their own copy of the software. Minitab is the most widely used teaching statistical software in the world.

Workshop Statistics:: Student Minitab Version (Textbooks in Mathematical Sciences)

Science & Math

Chance, Beth L.

Rossman, Allan

Mathematics

Key College

STAT2 introduces students to statistical modeling beyond what they have learned in a Stat 101 college course or an AP Statistics course. Building on basic concepts and methods learned in that course, STAT2 empowers students to analyze richer datasets that include more variables and address a broader range of research questions. 
 Other than a working understanding of exponential and logarithmic functions, there are no prerequisites beyond successful completion of their first statistics course. To help all students make a smooth transition to this course, Chapter 0 reminds students of basic statistical terminology and also uses the familiar two-sample t-test as a way to illustrate the approach of specifying, estimating, and testing a statistical model.
 Using STAT2, students will: 
 <ul>
 <li>Go beyond their Stat 101 experience by learning to develop and apply models with both quantitative and categorical response variables, and with multiple explanatory variables. STAT2 Chapters are grouped into units that consider models based on the type of response and type of predictors.</li>
</ul>
 <ul>
 <li>Discover that the practice of statistical modeling involves applying an interactive process. STAT2 employs a four-step process in all statistical modeling: Choose a form for the model, fit the model to the data, assess how well the model describes the data, and use the model to address the question of interest.</li>
</ul>
 <ul>
 <li>Learn how to apply their developing judgment about statistical modeling. STAT2 introduces the idea of constructing statistical models at the very beginning, in a setting that students encountered in their Stat 101 course. This modeling focus continues throughout the course as students encounter new and increasingly more complicated scenarios.</li>
</ul>
 <ul>
 <li>Analyze and draw conclusions from real data, which is crucial for preparing students to use statistical modeling in their professional lives. STAT2 incorporates real and rich data throughout the text. Using real data to address genuine research questions helps motivate students to study statistics. The richness stems not only from interesting contexts in a variety of disciplines, but also from the multivariable nature of most datasets. </li>
</ul>

STAT2: Modeling with Regression and ANOVA

Witmer, Jeffrey

Moore,Thomas

Cobb, George

Cannon, Ann

Legler, Julie

Lock, Robin

Hartlaub, Bradley

W.H.Freeman

Loose-leaf Version for STAT2 & Achieve Essentials for STAT2 (1-Term Access)

Loose-leaf Version for STAT2 & Achieve Essentials for STAT2 (2-Term Access)

In this revised and updated edition of the highly successful text, the authors have made significant changes: More than half of the in-classes and homework activities are new. They continue to utilize student engagement and active learning that characterized the first edition. There is stronger emphasis placed on developing student understanding of important statistical concepts. Many new data sets have been added on probability, the Central Limit Theorem, experimental design, inference for regression and chi-square tests. The publication of the first editions of Workshop Statistics (part of the FIPSE and NSF funded Workshop Mathematics Project at Dickinson College) in its three versions established the texts as the most popular for courses stressing active learning in introductory statistics. Workshop Statistics: Discovery with Data and Minitab 2/e features new pedagogical 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 stresses the importance of developing communication skills.

Workshop Statistics: Discovery with Data and Minitab (Textbooks in Mathematical Sciences)

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