Skip to main content Accessibility help
×
  • Cited by 1
    • Show more authors
    • You may already have access via personal or institutional login
    • Select format
    • Publisher:
      Cambridge University Press
      Publication date:
      07 March 2024
      14 March 2024
      ISBN:
      9781009436243
      9781009436212
      Dimensions:
      Weight & Pages:
      Dimensions:
      (254 x 178 mm)
      Weight & Pages:
      0.71kg, 370 Pages
    You may already have access via personal or institutional login
  • Selected: Digital
    Add to cart View cart Buy from Cambridge.org

    Book description

    This book provides statistics instructors and students with complete classroom material for a one- or two-semester course on applied regression and causal inference. It is built around 52 stories, 52 class-participation activities, 52 hands-on computer demonstrations, and 52 discussion problems that allow instructors and students to explore in a fun way the real-world complexity of the subject. The book fosters an engaging 'flipped classroom' environment with a focus on visualization and understanding. The book provides instructors with frameworks for self-study or for structuring the course, along with tips for maintaining student engagement at all levels, and practice exam questions to help guide learning. Designed to accompany the authors' previous textbook Regression and Other Stories, its modular nature and wealth of material allow this book to be adapted to different courses and texts or be used by learners as a hands-on workbook.

    Awards

    Winner, 2025 PROSE- Physical Sciences and Mathematics, Association of American Publishers

    Reviews

    ‘This book is an extraordinarily rich and generous resource for teaching statistics. Full of stories about challenging statistical problems, the examples reflect all the messiness of real life, and encourage class discussion of what went wrong and how to do things better. The extensive collection of lesson plans and exercises provides a fine inspiration to adopt a different, more active, style of teaching.'

    David Spiegelhalter - University of Cambridge

    ‘This is a wonderful read for any statistics teacher. The focus on real-world applications and statistical thinking ensures that everyone will gain new insights and perspectives no matter how long you have been teaching.'

    Beth Chance - California Polytechnic State University

    ‘I have to say reading this book came as a pleasant surprise for me. I thought I was going to be reviewing another statistics book and instead, it was an insightful read on how to think about teaching statistics. I found it engaging and helpful in rethinking how I approach teaching statistics.'

    Pamela Davis-Kean - University of Michigan

    Refine List

    Actions for selected content:

    Select all | Deselect all
    • View selected items
    • Export citations
    • Download PDF (zip)
    • Save to Kindle
    • Save to Dropbox
    • Save to Google Drive

    Save Search

    You can save your searches here and later view and run them again in "My saved searches".

    Please provide a title, maximum of 40 characters.
    ×

    Contents

    • Chapter 1 - Active learning
      pp 3-12

    Metrics

    Altmetric attention score

    Full text views

    Total number of HTML views: 0
    Total number of PDF views: 0 *
    Loading metrics...

    Book summary page views

    Total views: 0 *
    Loading metrics...

    * Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.

    Usage data cannot currently be displayed.

    Accessibility standard: Unknown

    Why this information is here

    This section outlines the accessibility features of this content - including support for screen readers, full keyboard navigation and high-contrast display options. This may not be relevant for you.

    Accessibility Information

    Accessibility compliance for the PDF of this book is currently unknown and may be updated in the future.