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Quantitative reasoning: thinking in numbers

By: Zaslow, EricMaterial type: TextTextPublication details: Cambridge Cambridge University Press 2020 Description: xvii, 241 pISBN: 9781108410908Subject(s): Numerical analysis | Problem solving | Quantitative researchDDC classification: 160 Summary: DescriptionContentsResourcesCoursesAbout 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.
List(s) this item appears in: Operation & quantitative Techniques | Finance & Accounting
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Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book Indian Institute of Management LRC
General Stacks
Operations Management & Quantitative Techniques 160 ZAS (Browse shelf(Opens below)) 1 Available 003539
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153.83015118 TAK Behavioral decision theory: psychological and mathematical descriptions of human choice behavior 155.284 BON Multidimensional item response theory 158.1 GOL The Choice 160 ZAS Quantitative reasoning: 300.11385 BRO Chaos and catastrophe theories 300.1519538 JAC Random factors in anova 300.28 MAR Analyzing panel data

Table 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.

DescriptionContentsResourcesCoursesAbout 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.

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