From the book reviews: "The presentation is concise, precise and transparent. A number of worked-in-detail examples is considered in each section; this facilitates greatly understanding of the material. ... This text is a welcome addition to the existing literature and is warmly recommended not only as a textbook for a mathematics course for students in economics, finance, social and life sciences, but also as additional reading for related courses in probability, statistics or applied mathematics." (Yuriy V. Rogovchenko, zbMATH, Vol. 1301, 2015) "This textbook contains a treasure trove of such topics, such as sampling, cryptography, voting, and probability. While Mathematics in the Real World is intended for students with a minimal background in mathematics, the mathematics in the textbook is not dumbed down. The student will be performing calculations, using formulas, and drawing graphs. ... All in all, I think Wallis has written a wonderful text. He has chosen exciting topics and explained them in a straightforward manner." (Kara Shane Colley, MAA Reviews, January, 2014)

• ​Preface.- Part I Introduction.- Math is Everywhere.- Numbers and Sets.- Counting.- Part II Statistical Ideas.- Collecting Data.- Measuring Data.- Normal.- Sampling, Predicting.- Multivariate Situations.- Probability.- Part III Graph Models.- Euler.- Hamilton.- Trees.- Scheduling, Critical Paths.- Coloring, Handshakes.- Part IV Data.- Identification Numbers.- Data Transmission.- Encryption; The Hat Game.- Part V Voting.- Voting Systems.- Messing with Systems.- Electing a President.- Part VI The Exponential World.- Finance.- Populations and Radioactivity.

From the book reviews: "The presentation is concise, precise and transparent. A number of worked-in-detail examples is considered in each section; this facilitates greatly understanding of the material. ... This text is a welcome addition to the existing literature and is warmly recommended not only as a textbook for a mathematics course for students in economics, finance, social and life sciences, but also as additional reading for related courses in probability, statistics or applied mathematics." (Yuriy V. Rogovchenko, zbMATH, Vol. 1301, 2015) "This textbook contains a treasure trove of such topics, such as sampling, cryptography, voting, and probability. While Mathematics in the Real World is intended for students with a minimal background in mathematics, the mathematics in the textbook is not dumbed down. The student will be performing calculations, using formulas, and drawing graphs. ... All in all, I think Wallis has written a wonderful text. He has chosen exciting topics and explained them in a straightforward manner." (Kara Shane Colley, MAA Reviews, January, 2014)

• ​Preface.- Part I Introduction.- Math is Everywhere.- Numbers and Sets.- Counting.- Part II Statistical Ideas.- Collecting Data.- Measuring Data.- Normal.- Sampling, Predicting.- Multivariate Situations.- Probability.- Part III Graph Models.- Euler.- Hamilton.- Trees.- Scheduling, Critical Paths.- Coloring, Handshakes.- Part IV Data.- Identification Numbers.- Data Transmission.- Encryption; The Hat Game.- Part V Voting.- Voting Systems.- Messing with Systems.- Electing a President.- Part VI The Exponential World.- Finance.- Populations and Radioactivity.

From the book reviews: "The presentation is concise, precise and transparent. A number of worked-in-detail examples is considered in each section; this facilitates greatly understanding of the material. ... This text is a welcome addition to the existing literature and is warmly recommended not only as a textbook for a mathematics course for students in economics, finance, social and life sciences, but also as additional reading for related courses in probability, statistics or applied mathematics." (Yuriy V. Rogovchenko, zbMATH, Vol. 1301, 2015) "This textbook contains a treasure trove of such topics, such as sampling, cryptography, voting, and probability. While Mathematics in the Real World is intended for students with a minimal background in mathematics, the mathematics in the textbook is not dumbed down. The student will be performing calculations, using formulas, and drawing graphs. ... All in all, I think Wallis has written a wonderful text. He has chosen exciting topics and explained them in a straightforward manner." (Kara Shane Colley, MAA Reviews, January, 2014)

• ​Preface.- Part I Introduction.- Math is Everywhere.- Numbers and Sets.- Counting.- Part II Statistical Ideas.- Collecting Data.- Measuring Data.- Normal.- Sampling, Predicting.- Multivariate Situations.- Probability.- Part III Graph Models.- Euler.- Hamilton.- Trees.- Scheduling, Critical Paths.- Coloring, Handshakes.- Part IV Data.- Identification Numbers.- Data Transmission.- Encryption; The Hat Game.- Part V Voting.- Voting Systems.- Messing with Systems.- Electing a President.- Part VI The Exponential World.- Finance.- Populations and Radioactivity.