The book "Bioassays with Arthropods" is a comprehensive guide to the design and analysis of bioassays involving arthropods. It covers various types of quantal response bioassays, including binary quantal response with one explanatory variable, binary quantal response with multiple explanatory variables, and polytomous (multinomial) quantal response. The book also discusses statistical methods for analyzing data from bioassays, including probit and logit regression, hypothesis testing, and the use of computer programs such as PoloPlus, SAS, and R. It addresses topics such as pesticide resistance, the effects of natural variation on response, and the use of bioassays in quarantine statistics. The book is intended for biologists with an introductory course in statistics and some coursework in environmental science, toxicology, or integrated pest management. The authors emphasize the importance of proper experimental design and statistical analysis in bioassays to ensure accurate and meaningful results. The book also includes a preface that discusses the development of the second edition and the authors' experiences in the field of bioassays. The authors highlight the importance of statistical models in understanding the relationship between the response of arthropods and the quantity or intensity of a stimulus, and they provide examples and explanations of various statistical methods used in bioassays. The book is a valuable resource for researchers and practitioners in the field of entomology and toxicology.The book "Bioassays with Arthropods" is a comprehensive guide to the design and analysis of bioassays involving arthropods. It covers various types of quantal response bioassays, including binary quantal response with one explanatory variable, binary quantal response with multiple explanatory variables, and polytomous (multinomial) quantal response. The book also discusses statistical methods for analyzing data from bioassays, including probit and logit regression, hypothesis testing, and the use of computer programs such as PoloPlus, SAS, and R. It addresses topics such as pesticide resistance, the effects of natural variation on response, and the use of bioassays in quarantine statistics. The book is intended for biologists with an introductory course in statistics and some coursework in environmental science, toxicology, or integrated pest management. The authors emphasize the importance of proper experimental design and statistical analysis in bioassays to ensure accurate and meaningful results. The book also includes a preface that discusses the development of the second edition and the authors' experiences in the field of bioassays. The authors highlight the importance of statistical models in understanding the relationship between the response of arthropods and the quantity or intensity of a stimulus, and they provide examples and explanations of various statistical methods used in bioassays. The book is a valuable resource for researchers and practitioners in the field of entomology and toxicology.