This new SAT math is designed for the students to get a perfect score on the SAT exam. Every questions in this book are very valuable and created after a long research. The questions in this book focus on building a solid understanding of basic mathematical concepts. Without understanding these solid foundations, it will be difficult to score well on the exams. This book emphasize that any difficult math question can be completely be solved with a solid understanding of basic concepts.
This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.
Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the “bible” of simulation and now has more than 100,000 copies in print. The book can serve as the primary text for a variety of courses; for example: • A first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses. • A second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research. • An introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).
Designed for students preparing for the SAT II Math Level 2 exam, Dr. John Chung's SAT II Math Level 2 gives students a comprehensive guide of how to approach Math 2 questions with its 57 Perfect Tips, while also providing 12 Mock Tests for intensive pratice. This book covers in detail all subjects tested in the exam, making it invaluable resource that enables the student to solve any potential SAT II math 2 questions.
This book is designed for students to get a perfect score on the exam. Most importantly, the questions in this book focus on building a solid understanding of basic mathematical concepts for both of the math level 1 and math level 2.