A Course in One Semester Barron, Emmanuel N. creator author. aut http://id.loc.gov/vocabulary/relators/aut Del Greco, John G. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 2nd ed. 2024. monographic eng

electronic

electronic resource

access XVII, 289 p. 25 illus., 23 illus. in color. online resource. This new edition presents the essential topics in probability and statistics from a rigorous standpoint. Any discipline involving randomness, including medicine, engineering, and any area of scientific research, must have a way of analyzing or even predicting the outcomes of an experiment. The authors focus on the tools for doing so in a thorough, yet introductory way. After providing an overview of the basics of probability, the authors cover essential topics such as confidence intervals, hypothesis testing, and linear regression. These subjects are presented in a one semester format, suitable for engineers, scientists, and STEM students with a solid understanding of calculus. There are problems and exercises included in each chapter allowing readers to practice the applications of the concepts. In addition, this book: Discusses the basics of probability and essential topics, such as confidence intervals, hypothesis testing, and linear regression Provides exercises and solutions so that readers can practice the applications of the concepts Presents topics in a one semester format, suitable for engineers, scientists, and STEM students who have studied calculus for two semesters. Probability -- Random Variables -- Distributions of Sample Mean and Sample SD -- Confidence and Prediction Intervals -- Hypothesis Testing -- Linear Regression -- Answers to Problems. by Emmanuel N. Barron, John G. Del Greco. Mathematics Mathematical logic Statistics  Engineering mathematics Mathematics Mathematical Logic and Foundations Applications of Mathematics Statistics Applied Statistics Engineering Mathematics QA1-939 9783031389856 https://doi.org/10.1007/978-3-031-38985-6 https://doi.org/10.1007/978-3-031-38985-6 240401 20251030111758.0 978-3-031-38985-6