People who are not statisticians may wonder what statisticians do and how statistics might be applied in everyday life. Statistics: A Guide to the Unknown is supplementary reading material designed for general readers, even if they have not acquired sufficient knowledge of statistics, mathematics and probability. Furthermore, it could provide statisticians with a general understanding of the important role of statistics in society. This book also analyzes how statistics helps people gain useful information from huge data sets. To produce a more respected book, the publishers invite many distinguished statistics researchers as authors. The book consists of twenty-five essays from diverse fields, including public policy and social sciences, science and technology, biology and medicine, business and industry, and hobbies and recreation. Each essay provides readers with a description of how statistical methods are applied to solve problems in that field. The book is divided into five parts based on different fields. In the first part, five articles focus on the applications of statistical methods in public policy and social sciences. Hypothesis testing was used to determine the guilt of a suspect in the courtroom. Probability distribution and sampling were used to analyze candidate preferences for an election survey. Additionally, people applied the modeling method to figure out that Utah could gain an extra seat in the U.S. House of Representatives unless North Carolina lost a seat. To evaluate school choice programs, obtaining quantitative evidence from randomized experiments was easier than from observational studies, although evaluators would deal with missing data and noncompliance. To understand healthcare spending, a survey was... half of the paper... This format could guide readers towards more effective reading. Readers who have interests in particular methods can quickly refer to these two lists and read articles related to those methods. Secondly, within each essay, the content has been divided into several parts, and each part is highlighted by a subtitle. Additionally, transition paragraphs are used appropriately to conclude previous ideas and introduce the author's next key points. For example, in the middle part of Cobb and Gehlbach's article (pp. 3-18), the authors wrote a paragraph to provide a detailed summary of what could be illustrated by the first hypothesis test and briefly introduced what they intended do in the second test. This transition could give readers a clearer idea of ​​the type of information they got and how the article would develop in the following paragraphs.