Sharon L. Lohr's book "Sampling: Design and analysis" is a comprehensive monograph on statistical sampling, covering both design and analysis aspects. It is a reprint of the second edition published in 2010 by Cengage Learning, and was published again in 2019 by CRC Press. The book contains 596 pages and provides detailed information on statistical sampling. The reference list includes only sources published before 2009, so readers seeking recent research should consult other sources. The appendix introduces probability concepts used in sampling, focusing on discrete random variables. The book is accessible to students with various statistical backgrounds and can be used for graduate courses or courses for students in business, sociology, psychology, or biology. It includes over 450 exercises, with different types of exercises to develop skills and understanding. The book emphasizes survey design and covers various sampling methods, including simple random, stratified, and cluster sampling, ratio estimation, survey weights, jackknife and bootstrap, nonresponse, chi-squared tests, and regression analysis. It also includes data graphing, computer code using SAS software, and online supplements with data sets and additional material. The book is used as a standard reference by many survey organizations. The book is recommended for students and professionals in various fields, including social sciences, public opinion research, medicine, public health, economics, agriculture, and ecology. The book is indexed under MSC 62-01, 62K05, 62D05, 60-01, and 60A05. Keywords include sampling, design, and analysis. The software used is SAS.Sharon L. Lohr's book "Sampling: Design and analysis" is a comprehensive monograph on statistical sampling, covering both design and analysis aspects. It is a reprint of the second edition published in 2010 by Cengage Learning, and was published again in 2019 by CRC Press. The book contains 596 pages and provides detailed information on statistical sampling. The reference list includes only sources published before 2009, so readers seeking recent research should consult other sources. The appendix introduces probability concepts used in sampling, focusing on discrete random variables. The book is accessible to students with various statistical backgrounds and can be used for graduate courses or courses for students in business, sociology, psychology, or biology. It includes over 450 exercises, with different types of exercises to develop skills and understanding. The book emphasizes survey design and covers various sampling methods, including simple random, stratified, and cluster sampling, ratio estimation, survey weights, jackknife and bootstrap, nonresponse, chi-squared tests, and regression analysis. It also includes data graphing, computer code using SAS software, and online supplements with data sets and additional material. The book is used as a standard reference by many survey organizations. The book is recommended for students and professionals in various fields, including social sciences, public opinion research, medicine, public health, economics, agriculture, and ecology. The book is indexed under MSC 62-01, 62K05, 62D05, 60-01, and 60A05. Keywords include sampling, design, and analysis. The software used is SAS.