000			02445nam a22002177a 4500
999			_c4100 _d4100
005			20221114111042.0
008			221114b ||||| |||| 00| 0 eng d
020			_a9781108410908
082			_a160 _bZAS
100			_aZaslow, Eric _99304
245			_aQuantitative reasoning: _bthinking in numbers
260			_bCambridge University Press _aCambridge _c2020
300			_axvii, 241 p.
365			_aGBP _b23.99
504			_aTable of Contents 1. Is college worth the cost? 2. How many people died in the Civil War? 3. How much will this car cost? 4. Should we worry about arsenic in rice? 5. What is the economic impact of the undocumented? 6. Should I buy health insurance? 7. Can we recycle pollution? 8. Why is it dark at night? 9. Where do the stars go in the daytime? 10. Should I take this drug for my headache? Appendix 1. Numeracy Appendix 2. Arithmetic Appendix 3. Algebra Appendix 4. Geometry Appendix 5. Units and scientific notation Appendix 6. Functions Appendix 7. Probability Appendix 8. Statistics Appendix 9. Estimation.
520			_aDescriptionContentsResourcesCoursesAbout the Authors 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 mathematical sophistication over the course of the book, which helps the student get comfortable with the process of thinking in numbers. This textbook includes references to source materials and suggested further reading, making it user-friendly for motivated undergraduate students. The many detailed problems and worked solutions in the text and extensive appendices help the reader learn mathematical areas such as algebra, functions, graphs, and probability. End-of-chapter problem material provides practice for students, and suggested projects are provided with each chapter. A solutions manual is available online for instructors.
650			_aNumerical analysis _98364
650			_aProblem solving _9988
650			_aQuantitative research _95213
942			_2ddc _cBK