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STAT2: Modeling with Regression and ANOVA (2nd Edition) – eBook

SKU: stat2-modeling-with-regression-and-anova-2nd-edition-ebook

Original price was: $90.40.Current price is: $19.00.

eBook Details

  • Authors: Ann R. Cannon, George W. Cobb, Bradley A. Hartlaub, Julie Legler, Robin H. Lock, Thomas L. Moore, Allan J. Rossman, Jeffrey A. Witmer
  • File Size: 40 MB
  • Format: PDF (converted)
  • Length: 624 pages
  • Publisher: W.H. Freeman; 2nd edition
  • Publication Date: November 5, 2018
  • Language: English
  • ASIN: B07K6Y99J3
  • ISBN-10: 1319054072, 1319056970
  • ISBN-13: 9781319054076, 9781319056971
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Description

STAT2: Modeling with Regression and ANOVA, 2nd Edition (PDF) is an essential resource that elevates students’ understanding of statistical modeling beyond the foundational knowledge gained in typical Stat 101 college courses or AP Statistics programs. This enhanced edition is meticulously designed to guide students through the complexities of statistical modeling, enabling them to analyze richer datasets that encompass a wider array of variables and explore a diverse set of research inquiries.

While a fundamental grasp of exponential and logarithmic functions is beneficial, the only required prerequisite is the successful completion of an introductory statistics course. To facilitate a seamless transition for college students, Chapter 0 serves as a refresher on crucial statistical terminology and applies the well-known two-sample t-test as a gateway to understanding the fundamental processes of specifying, estimating, and testing statistical models.

With STAT2, students will:

– **Advance Beyond Stat 101**: This course takes students a step further by teaching them to develop and apply statistical models that incorporate both categorical and quantitative response variables, as well as multiple explanatory variables. Chapters are thoughtfully organized into units that correspond to the type of predictors and response variables, ensuring clarity and focus in learning.

– **Engage in an Interactive Modeling Process**: Emphasizing the nature of statistical modeling as an iterative process, STAT2 introduces a four-step methodology applicable to all statistical modeling. This framework guides students through selecting a model form, fitting the model to the data, evaluating the model’s performance, and utilizing the model to answer relevant research questions.

– **Cultivate Judgment in Statistical Modeling**: The course highlights the significance of constructing statistical models early on, with scenarios familiar to students from their Stat 101 experiences. This foundational focus on modeling continues throughout the course, preparing students to tackle progressively complex situations.

– **Analyze Real-World Data**: Understanding how to interpret and draw conclusions from real datasets is vital for students aiming to leverage statistical modeling in their future careers. STAT2 integrates a variety of authentic and substantial data throughout the text, allowing students to engage with real research questions. The richness of the datasets not only comes from their relevance across multiple disciplines but also from their multivariable characteristics.

Additional ISBNs include: 978-1319209506, 9781319209506, 978-1319056971, 978-1319054076.

NOTE: This product consists of the ebook, STAT2: Modeling with Regression and ANOVA, 2nd Edition, available in a converted PDF format. Please be aware that page numbers and formatting may differ from the physical edition. Access codes are not included.

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