Skip to main content Accessibility help
Internet Explorer 11 is being discontinued by Microsoft in August 2021. If you have difficulties viewing the site on Internet Explorer 11 we recommend using a different browser such as Microsoft Edge, Google Chrome, Apple Safari or Mozilla Firefox.

Last updated 24 July 2024: Online ordering is currently unavailable due to technical issues. We apologise for any delays responding to customers while we resolve this. Alternative purchasing options are available . For further updates please visit our website: https://www.cambridge.org/news-and-insights/technical-incident 

Home
> Subjects
> Quantitative Reasoning

Quantitative Reasoning Thinking in Numbers

Authors

Eric Zaslow
, Northwestern University, Illinois
Published 2020

Description

Is college worth the cost? Should I worry about arsenic in my rice? Can we recycle pollution? Real questions of personal finance, public health, and social policy require sober, data-driven analyses. This unique text provides students with the tools of quantitative reasoning to answer such questions. The text models how to clarify the question, recognize and avoid bias, isolate relevant factors, gather data, and construct numerical analyses for interpretation. Themes and techniques are repeated across chapters, with a progression in…

  • Get access
  • Add bookmark
  • Cite
  • Share
Resources available Unlock the full potential of this textbook with additional resources. There are Instructor restricted resources available for this textbook. Explore resources

Key features

  • Accessible, engaging and self-contained - a one-stop shop for the reader to review or learn basic mathematical skills while learning how to apply them to multi-step arguments in a quantitative way
  • Tailored for courses in quantitative reasoning and critical reasoning
  • Assumes only high-school mathematics, accommodating a wide range of preparation

About the book

  • DOI https://doi.org/10.1017/9781108297844
  • Subjects Mathematical Modeling and Methods,Mathematics
  • Format: Paperback
    • Publication date: 27 February 2020
    • ISBN: 9781108410908
    • Dimensions (mm): 253 x 177 mm
    • Weight: 0.56kg
    • Contains: 22 b/w illus. 8 tables
    • Page extent: 258 pages
    • Availability: In stock
  • Format: Hardback
    • Publication date: 27 February 2020
    • ISBN: 9781108419413
    • Dimensions (mm): 253 x 177 mm
    • Weight: 0.69kg
    • Contains: 22 b/w illus. 8 tables
    • Page extent: 258 pages
    • Availability: In stock
  • Format: Digital
    • Publication date: 21 September 2020
    • ISBN: 9781108297844

Access options

Review the options below to login to check your access.

Purchase options

There are no purchase options available for this title.

Have an access code?

To redeem an access code, please log in with your personal login.

Log in

If you believe you should have access to this content, please contact your institutional librarian or consult our FAQ page for further information about accessing our content.

Also available to purchase from these educational ebook suppliers

Related content

AI generated results by Discovery for publishers [opens in a new window]

About Contact and help Publish with us Accessibility Legal notices
Join us online
For research journals and books visit Cambridge Core [Opens in a new window]
© Cambridge University Press 2024