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Sampling Theory and Practice (ICSA Book Series in Statistics)
by Changbao Wu Mary E. ThompsonThe three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past three decades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey sampling that provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys.
Samuel Pepys, Isaac Newton, James Hodgson, and the Beginnings of Secondary School Mathematics
by Nerida F. Ellerton M. A. Ken ClementsThis book tells one of the greatest stories in the history of school mathematics. Two of the names in the title--Samuel Pepys and Isaac Newton--need no introduction, and this book draws attention to their special contribution to the history of school mathematics. According to Ellerton and Clements, during the last quarter of the seventeenth century Pepys and Newton were key players in defining what school mathematics beyond arithmetic and elementary geometry might look like. The scene at which most of the action occurred was Christ's Hospital, which was a school, ostensibly for the poor, in central London. The Royal Mathematical School (RMS) was established at Christ's Hospital in 1673. It was the less well-known James Hodgson, a fine mathematician and RMS master between 1709 and 1755, who demonstrated that topics such as logarithms, plane and spherical trigonometry, and the application of these to navigation, might systematically and successfully be taught to 12- to 16-year old school children. From a wider history-of-school-education perspective, this book tells how the world's first secondary-school mathematics program was created and how, slowly but surely, what was being achieved at RMS began to influence school mathematics in other parts of Great Britain, Europe, and America. The book has been written from the perspective of the history of school mathematics. Ellerton and Clements's analyses of pertinent literature and of archival data, and their interpretations of those analyses, have led them to conclude that RMS was the first major school in the world to teach mathematics-beyond-arithmetic, on a systematic basis, to students aged between 12 and 16. Throughout the book, Ellerton and Clements examine issues through the lens of a lag-time theoretical perspective. From a historiographical perspective, this book emphasizes how the history of RMS can be portrayed in very different ways, depending on the vantage point from which the history is written. The authors write from the vantage point of international developments in school mathematics education and, therefore, their history of RMS differs from all other histories of RMS, most of which were written from the perspective of the history of Christ's Hospital.
San Francisco: A Book of Numbers (Hello, World)
by Ashley EvansonHello, World is an exciting book series that pairs early learning concepts with colorful, stylish illustrations of cities around the world. From the Golden Gate Bridge to seals to cable cars, there&’s no shortage of bright, bold, and interesting things to count in San Francisco. Explore numbers through the best the city has to offer in this gorgeous board book!
Sandburgen, Staus und Seifenblasen (Erlebnis Wissenschaft)
by Oliver MorschWarum bilden sich Staus aus dem Nichts und lösen sich genauso unverhofft wieder auf? Warum fließt Sand und kann dennoch hart wie Beton sein? Die physikalischen Gesetzmäßigkeiten hinter diesen und anderen Ereignissen sind spannend zu entdecken.
Sandlot Stats: Learning Statistics with Baseball
by Stanley RothmanSandlot Stats uses the national pastime to help students who love baseball learn—and enjoy—statistics.As Derek Jeter strolls toward the plate, the announcer tosses out a smattering of statistics—from hitting streaks to batting averages. But what do the numbers mean? And how can America’s favorite pastime be a model for learning about statistics? Sandlot Stats is an innovative textbook that explains the mathematical underpinnings of baseball so that students can understand the world of statistics and probability. Carefully illustrated and filled with exercises and examples, this book teaches the fundamentals of probability and statistics through the feats of baseball legends such as Hank Aaron, Joe DiMaggio, and Ted Williams—and more recent players such as Barry Bonds, Albert Pujols, and Alex Rodriguez. Exercises require only pen-and-paper or Microsoft Excel to perform the analyses.Sandlot Stats covers all the bases, including• descriptive and inferential statistics• linear regression and correlation• probability• sports betting• probability distribution functions• sampling distributions• hypothesis testing• confidence intervals• chi-square distributionSandlot Stats offers information covered in most introductory statistics books, yet is peppered with interesting facts from the history of baseball to enhance the interest of the student and make learning fun.
Sanskrit Astronomical Tables (Sources and Studies in the History of Mathematics and Physical Sciences)
by Clemency Montelle Kim PlofkerThis groundbreaking volume provides an up-to-date, accessible guide to Sanskrit astronomical tables and their analysis. It begins with an overview of Indian mathematical astronomy and its literature, including table texts, in the context of history of pre-modern astronomy. It then discusses the primary mathematical astronomy content of table texts and the attempted taxonomy of this genre before diving into the broad outlines of their representation in the Sanskrit scientific manuscript corpus. Finally, the authors survey the major categories of individual tables compiled in these texts, complete with brief analyses of some of the methods for constructing and using them, and then chronicle the evolution of the table-text genre and the impacts of its changing role on the discipline of Sanskrit jyotiṣa. There are also three appendices: one inventories all the identified individual works in the genre currently known to the authors; one provides reference information about the details of all the notational, calendric, astronomical, and other classification systems invoked in the study; and one serves as a glossary of the relevant Sanskrit terms.
SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition
by Ken Kleinman Nicholas J. HortonAn Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent TasksThe first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition explains how to easily p
SAS® Coding Primer and Reference Guide
by Connie TangAlthough the web and online SAS® communities can provide volumes of information for programmers, these resources are often overwhelming and lack a simple path to guide coding SAS. This reference, however, does provide such a path from a data user’s standpoint vs. seeing things as a code writer. Written by an experienced SAS programmer, this book lets SAS coders easily find explanations and clarification to typical programming problems. This book presents practical real-world data analysis steps encountered by analysts in the field. These steps include the following: Getting to know raw data Understanding variables Getting data into SAS Creating new data variables Performing data manipulations, including sorting, ranking, grouping, subtotal, total, and percentage Statistical testing under a broad range of logical and conditional settings Data visualization Throughout this book, statements and codes are accompanied by thorough annotation. Line-by-line explanations ensure that all terms are clearly explained. Code examples and sample codes have broad usages. All the examples are related to highway transportation where the use of big data is exploding and presenting new challenges and opportunities for growth. Clear and precise practical introductory material on statistics is integrated into the relevant SAS procedures to bolster users’ confidence in applying such methods to their own work. Comprehensive and foundational coverage, systematic introduction of programming topics, thoroughly annotated code examples, and real-world code samples combine to make SAS® Coding Primer and Reference Guide an indispensable reference for beginners and experienced programmers.
SAS Combat Handbook
by Barry DaviesAn SAS soldier explains the battle history of this prestigious military service, while teaching how you can defend yourself in both hand-to-hand and military combat. Seventy years after its inception, the Special Air Service (SAS) is recognized by many as one of the most decorated military forces in the world. Their soldiers do battle on a daily basis, taking actions that are normally swift, very hard hitting, and extremely secretive. They will go--willingly--deep behind enemy lines, taking on incredible odds and risking their lives in the hope of rescuing others. In the SAS Combat Handbook, you will be informed on all aspects of SAS operations. With never-before-seen photographs of these heroes in action and untold stories of individual acts of bravery, you will be taught the key combat methods that have made this military group exactly what they are: elite. Included are training tips that will teach you about various military tactics, such as: The art of cover and remaining hidden behind enemy lines The keys to covert insertion and extraction operations Counterterrorism skills, including building entry, ambush, and sniping Fire battles on land, in the air, or at sea And so much more From the gathering of intelligence to undercover operations, the SAS is made up of two hundred men who are rigorously selected, highly trained, and ready to face what others fear. They know what it takes to get the job done, and no matter the situation, their combat skills are the best in the business.
SAS Essentials: Mastering SAS for Data Analytics
by Wayne A. Woodward Alan C. ElliottSAS ESSENTIALS Valuable step-by-step introduction to using SAS® statistical software as a foundational approach to data analysis and interpretation Presenting a straightforward introduction from the ground up, SAS® Essentials illustrates SAS using hands-on learning techniques and numerous real-world examples; keeping different experience levels in mind, the highly qualified author team has developed the book over 25 years of teaching introductory SAS courses. This book introduces data manipulation, statistical techniques, and the SAS programming language, including SAS macros, reporting results in tables, and factor analysis, as well as sections on character functions, variable manipulation, and merging, appending, and updating files. It features self-contained chapters to enhance the learning process and includes programming approaches for the latest version of the SAS platform. The Third Edition has been updated with expanded examples, a new chapter introducing PROC SQL as well as new end-of-chapter exercises. The Third Edition also includes a companion website with data sets, additional code, notes on SAS programming, functions, ODS, PROC SQL, and SAS Arrays, along with solutions for instructors. Specific sample topics covered in SAS® Essentials include: Getting data into SAS, reading, writing, and importing data, preparing data for analysis, preparing to use SAS procedures, and controlling output using ODS Techniques for creating, editing, and debugging SAS programs, cleaning up messy data sets, and manipulating data using character, time, and numeric functions Other essential computational skills that are utilized by business, government, and organizations alike, and DATA step for data management Using PROC to analyze data, including evaluating quantitative data, analyzing counts and tables, comparing means using T-Tests, correlation and regression, and analysis of variance, nonparametric analysis, logistic regression, factor analysis, and creating custom graphs and reports. SAS® Essentials is a fundamental study resource for professionals preparing for the SAS Base Certification Exam, as well as an ideal textbook for courses in statistics, data analytics, applied SAS programming, and statistical computer applications.
SAS For Dummies
by Chris HemedingerBecome data-savvy with the widely used data and AI software Data and analytics are essential for any business, giving insight into what's working, what can be improved, and what else needs to be done. SAS software helps you make sure you're doing data right, with a host of data management, reporting, and analysis tools. SAS For Dummies teaches you the essentials, helping you navigate this statistical software and turn information into value. In this book, learn how to gather data, create reports, and analyze results. You'll also discover how SAS machine learning and AI can help deliver decisions based on data. Even if you're brand new to data and analytics, this easy-to-follow guide will turn you into an SAS power user. Become familiar with the most popular SAS applications, including SAS 9 and SAS Viya Connect to data, organize your information, and adopt sound data security practices Get a primer on working with data sets, variables, and statistical analysis Explore and analyze data through SAS programming and rich application interfaces Create and share graphs interactive visualizations to deliver insights This is the perfect Dummies guide for new SAS users looking to improve their skills—in any industry and for any organization size.
SAS For Dummies
by Chris Hemedinger Stephen McdanielThe fun and easy way to learn to use this leading business intelligence toolWritten by an author team who is directly involved with SAS, this easy-to-follow guide is fully updated for the latest release of SAS and covers just what you need to put this popular software to work in your business. SAS allows any business or enterprise to improve data delivery, analysis, reporting, movement across a company, data mining, forecasting, statistical analysis, and more. SAS For Dummies, 2nd Edition gives you the necessary background on what SAS can do for you and explains how to use the Enterprise Guide.SAS provides statistical and data analysis tools to help you deal with all kinds of data: operational, financial, performance, and morePlaces special emphasis on Enterprise Guide and other analytical tools, covering all commonly used featuresCovers all commonly used features and shows you the practical applications you can put to work in your businessExplores how to get various types of data into the software and how to work with databasesCovers producing reports and Web reporting tools, analytics, macros, and working with your dataIn the easy-to-follow, no-nonsense For Dummies format, SAS For Dummies gives you the knowledge and the confidence to get SAS working for your organization.Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
SAS for Epidemiologists
by Charles DimaggioThis comprehensive text covers the use of SAS for epidemiology and public health research. Developed with students in mind and from their feedback, the text addresses this material in a straightforward manner with a multitude of examples. It is directly applicable to students and researchers in the fields of public health, biostatistics and epidemiology. Through a "hands on" approach to the use of SAS for a broad number of epidemiologic analyses, readers learn techniques for data entry and cleaning, categorical analysis, ANOVA, and linear regression and much more. Exercises utilizing real-world data sets are featured throughout the book. SAS screen shots demonstrate the steps for successful programming. SAS (Statistical Analysis System) is an integrated system of software products provided by the SAS institute, which is headquartered in California. It provides programmers and statisticians the ability to engage in many sophisticated statistical analyses and data retrieval and mining exercises. SAS is widely used in the fields of epidemiology and public health research, predominately due to its ability to reliably analyze very large administrative data sets, as well as more commonly encountered clinical trial and observational research data.
A SAS/IML Companion for Linear Models (Statistics and Computing)
by Jamis J. PerrettLinear models courses are often presented as either theoretical or applied. Consequently, students may find themselves either proving theorems or using high-level procedures like PROC GLM to analyze data. There exists a gap between the derivation of formulas and analyses that hide these formulas behind attractive user interfaces. This book bridges that gap, demonstrating theory put into practice. Concepts presented in a theoretical linear models course are often trivialized in applied linear models courses by the facility of high-level SAS procedures like PROC MIXED and PROC REG that require the user to provide a few options and statements and in return produce vast amounts of output. This book uses PROC IML to show how analytic linear models formulas can be typed directly into PROC IML, as they were presented in the linear models course, and solved using data. This helps students see the link between theory and application. This also assists researchers in developing new methodologies in the area of linear models. The book contains complete examples of SAS code for many of the computations relevant to a linear models course. However, the SAS code in these examples automates the analytic formulas. The code for high-level procedures like PROC MIXED is also included for side-by-side comparison. The book computes basic descriptive statistics, matrix algebra, matrix decomposition, likelihood maximization, non-linear optimization, etc. in a format conducive to a linear models or a special topics course. Also included in the book is an example of a basic analysis of a linear mixed model using restricted maximum likelihood estimation (REML). The example demonstrates tests for fixed effects, estimates of linear functions, and contrasts. The example starts by showing the steps for analyzing the data using PROC IML and then provides the analysis using PROC MIXED. This allows students to follow the process that lead to the output.
SAS Programming: The One-Day Course
by Neil H. SpencerAimed at researchers and students , SAS Programming: The One-Day Course provides an introduction to the SAS programming language. It gives the reader a start in SAS programming and the basic data manipulations and statistical summaries that are available through SAS. The book has its origins in material prepared by the author for a one-day course i
SAS Programming and Data Visualization Techniques
by Philip R. HollandSAS Programming and Data Visualization Techniques: A Power User's Guide brings together a wealth of ideas about strategic and tactical solutions to everyday situations experienced when transferring, extracting, processing, analyzing, and reporting the valuable data you have at your fingertips. Best, you can achieve most of the solutions using the SAS components you already license, meaning that this book's insights can keep you from throwing money at problems needlessly. Author Philip R. Holland advises a broad range of clients throughout Europe and the United States as an independent consultant and founder of Holland Numerics Ltd, a SAS technical consultancy. In this book he explains techniques--through code samples and example--that will enable you to increase your knowledge of all aspects of SAS programming, improve your coding productivity, and interface SAS with other programs. He also provides an expert's overview of Graph Templates, which was recently moved into Base SAS. You will learn to create attractive, standardized, reusable, and platform-independent graphs--both statistical and non-statistical--to help you and your business users explore, visualize, and capitalize on your company's data. In addition, you will find many examples and cases pertaining to healthcare, finance, retail, and other industries. Among other things, SAS Programming and Data Visualization Techniques will show you how to: Write efficient and reusable SAS code Combine look-up data sets with larger data sets effectively Run R and Perl from SAS Run SAS programs from SAS Studio and Enterprise Guide Output data into insightful, valuable charts and graphs SAS Programming and Data Visualization Techniques prepares you to make better use of your existing SAS components by learning to use the newest features, improve your coding efficiency, help you develop applications that are easier to maintain, and make data analysis easier. In other words, it will save you time, money, and effort--and make you a more valuable member of the development team. What you'll learn How to write more efficient SAS code--either code that runs quicker, code that is easier to maintain, or both How to do more with the SAS components you already license How to take advantage of the newest features in SAS How to interface external applications with SAS software How to create graphs using SAS ODS Graphics Who this book is for SAS programmers wanting to improve their existing programming skills, and programming managers wanting to make better use of the SAS software they already license. Table of Contents The Basics of Efficient SAS Coding How to Use Look-up Tables Effectively Case: SAS Skills in Epidemiology SAS to R to SAS Knit Perl and SAS for DIY Web Applications Running SAS Programs in Enterprise Guide Running SAS Programs in SAS Studio or Enterprise Guide Everyday Uses for SAS Output Delivery System (ODS) Introduction to Graph Templates and ODS Graphics Procedures Generating Graph Templates Converting SAS/GRAPH Plots to ODS Graphics Converting SAS/GRAPH Annotate to ODS Graphics Customizing Graph Templates ODS GRAPHICS Statement
SAS Programming for Elementary Statistics: Getting Started
by Carla L. GoadSAS for Elementary Statistics: Getting Started provides an introduction to SAS programming for those who have experience with introductory statistical methods. It is also an excellent programming supplement for an introductory statistics course. It is appropriate for the beginning programmer with no prior SAS experience and the researcher who would like to refresh SAS programming skills. These lessons are those the author has found successful in the classroom. Strengths of this book include the following: Examples are easy to follow and understand. Chapters have user-friendly text and objectives. Each chapter has clear objectives with SAS syntax and output results given. Objectives are stated as tasks with detailed step-by-step instructions. Programming notes based on the author's experience occur throughout the book. The author assists the reader in making sense of the error messages in the SAS log. Brief reviews of statistical methods are included in chapters accompanying the corresponding SAS procedures. Easy transition from user terminology to SAS terminology is provided. The ability to select or suppress results using Output Delivery System (ODS) is made simple. Reading and writing to external files are among the most used SAS skills, and these concepts are clearly presented. The IMPORT and EXPORT procedures and ODS are used to accomplish these tasks. Statistical Graphics procedures and SAS/GRAPH can be quite challenging to learn, but these are presented in a very achievable format. Basic graph construction is first introduced then readers learn how to add color, pattern, and other enhancements to graphics images.
SAS® Software Companion for Sampling: Design and Analysis, Third Edition
by Sharon L. LohrThe SAS® Software Companion for Sampling: Design and Analysis, designed to be read alongside Sampling: Design and Analysis, Third Edition by Sharon L. Lohr (SDA; 2022, CRC Press), shows how to use the survey selection and analysis procedures of SAS® software to perform calculations for the examples in SDA. No prior experience with SAS software is needed. Chapter 1 tells you how to access the software, introduces basic features, and helps you get started with analyzing data. Each subsequent chapter provides step-by-step guidance for working through the data examples in the corresponding chapter of SDA, with code, output, and interpretation. Tips and warnings help you develop good programming practices and avoid common survey data analysis errors. Features of the SAS software procedures are introduced as they are needed so you can see how each type of sample is selected and analyzed. Each chapter builds on the knowledge developed earlier for simpler designs; after finishing the book, you will know how to use SAS software to select and analyze almost any type of probability sample. All code is available on the book website and is easily adapted for your own survey data analyses. The website also contains all data sets from the examples and exercises in SDA to help you develop your skills through analyzing survey data from social and public opinion research, public health, crime, education, business, agriculture, and ecology
SAS Statistics by Example
by Ron CodyIn SAS Statistics by Example, Ron Cody offers up a cookbook approach for doing statistics with SAS. Structured specifically around the most commonly used statistical tasks or techniques--for example, comparing two means, ANOVA, and regression--this book provides an easy-to-follow, how-to approach to statistical analysis not found in other books. For each statistical task, Cody includes heavily annotated examples using ODS Statistical Graphics procedures such as SGPLOT, SGSCATTER, and SGPANEL that show how SAS can produce the required statistics. Also, you will learn how to test the assumptions for all relevant statistical tests. Major topics featured include descriptive statistics, one- and two-sample tests, ANOVA, correlation, linear and multiple regression, analysis of categorical data, logistic regression, nonparametric techniques, and power and sample size. This is not a book that teaches statistics. Rather, SAS Statistics by Example is perfect for intermediate to advanced statistical programmers who know their statistics and want to use SAS to do their analyses. This book is part of the SAS Press program.
SAT Math Level I Test Prep Review--Exambusters Algebra Flash Cards--Workbook 1 of 2: Math Level I - Algebra (Exambusters SAT II Workbook #1 of 2)
by Sat Ii Exambusters450 questions and answers. Essential definitions, formulas, concepts, and sample problems.<P><P> Topics: Sets, Variables, Exponents, Properties of Numbers, Like Terms, Simple Equations, Property of Equality, Signed Numbers, Monomials, Polynomials, Advanced Equations, Verbal Problems, Factoring Polynomials, Algebraic Fractions, Equations with Several Variables, Advanced Verbal Problems, Evaluating Formulas, Simultaneous Equations, Ratio and Proportion, Variation, Quadratic Equations and Radicals, Coordinate Geometry <P>Exambusters SAT Prep Workbooks provide comprehensive, fundamental SAT review--one fact at a time--to prepare students to take practice SAT tests. Each SAT study guide focuses on one specific subject area covered on the SAT exams. From 300 to 600 questions and answers, each volume in the SAT series is a quick and easy, focused read. Reviewing SAT flash cards is the first step toward more confident SAT preparation and ultimately, higher SAT exam scores!
SAT Math Level I Test Prep Review--Exambusters Geometry Flash Cards--Workbook 2 of 2: Math Level I - Geometry (Exambusters SAT II Workbook #2 of 2)
by Sat Ii Exambusters450 questions and answers. Essential definitions, formulas, and concepts with complementary diagrams. <P><P>Topics: Lines and Angles, Triangles, Introduction to Proofs, Congruent Triangles, Perpendicular Lines, Parallel Lines, Angle Sums, Quadrilaterals, Medians, Altitudes, Bisectors, Circles, Ratio and Proportion, Similar Polygons, Proportions in Right Triangles, Areas of Polygons, Circles and Regular Polygons, Inequalities, Locus, Introduction to Coordinate Geometry <P>Exambusters SAT Prep Workbooks provide comprehensive, fundamental SAT review--one fact at a time--to prepare students to take practice SAT tests. Each SAT study guide focuses on one specific subject area covered on the SAT exams. From 300 to 600 questions and answers, each volume in the SAT series is a quick and easy, focused read. Reviewing SAT flash cards is the first step toward more confident SAT preparation and ultimately, higher SAT exam scores!
SAT Math Level II Test Prep Review--Exambusters Algebra 1 Flash Cards--Workbook 1 of 2: Math Level II - Algebra (Exambusters SAT II Workbook #1 of 2)
by Sat Ii Exambusters450 questions and answers. Essential definitions, formulas, concepts, and sample problems.<P><P> Topics: Sets, Variables, Exponents, Properties of Numbers, Like Terms, Simple Equations, Property of Equality, Signed Numbers, Monomials, Polynomials, Advanced Equations, Verbal Problems, Factoring Polynomials, Algebraic Fractions, Equations with Several Variables, Advanced Verbal Problems, Evaluating Formulas, Simultaneous Equations, Ratio and Proportion, Variation, Quadratic Equations and Radicals, Coordinate Geometry <P>Exambusters SAT Prep Workbooks provide comprehensive, fundamental SAT review--one fact at a time--to prepare students to take practice SAT tests. Each SAT study guide focuses on one specific subject area covered on the SAT exams. From 300 to 600 questions and answers, each volume in the SAT series is a quick and easy, focused read. Reviewing SAT flash cards is the first step toward more confident SAT preparation and ultimately, higher SAT exam scores!
SAT Math Level II Test Prep Review--Exambusters Algebra 2-Trig Flash Cards--Workbook 2 of 2: Math Level II - Algebra/Trigonometry (Exambusters SAT II Workbook #2 of 2)
by Sat Ii Exambusters500 questions and answers that focus on essential advanced algebra and trigonometry concepts. Includes complementary diagrams. Essential definitions, formulas, and sample problems. <P><P>Topics: Exponents and Radicals, Absolute Values and Inequalities, Polynomials, Linear Equations, Quadratic Equations, Conic Sections, Logarithms, Angles, Trigonometric Functions and Identities, Oblique Triangles, Complex and Imaginary Numbers, Area and Volume, Sequences and Series <P>Exambusters SAT Prep Workbooks provide comprehensive, fundamental SAT review--one fact at a time--to prepare students to take practice SAT tests. Each SAT study guide focuses on one specific subject area covered on the SAT exams. From 300 to 600 questions and answers, each volume in the SAT series is a quick and easy, focused read. Reviewing SAT flash cards is the first step toward more confident SAT preparation and ultimately, higher SAT exam scores!
SAT Subject Test Math Level 1: with 5 Practice Tests
by Ira K. Wolf Ph.D.Barron&’s SAT Subject Test: Math Level 1 with Online Tests features full-length practice tests in the book and online, and in-depth review of all topics on the exam.This edition includes:Three full-length model tests in the book with complete solutions for every problemTwo full-length online practice tests with answers and explanationsA review of the most important test-taking strategies students need to know to succeed on this examReview of all topics on the test, including: arithmetic, algebra, plane geometry, solid and coordinate geometry, trigonometry, functions and their graphs, probability and statistics, real and imaginary numbers, and logic
SAT Subject Test Mathematics Level 1
by KaplanEssential strategies, practice, and review to ace the SAT Subject Test Mathematics Level 1 Getting into a top college has never been more difficult. Students need to distinguish themselves from the crowd, and scoring well on an SAT Subject Test gives students a competitive edge. Kaplan’s SAT Subject Test Mathematics Level 1 is the most up-to-date guide on the market with complete coverage of both the content review and strategies students need for success on Test Day. Kaplan’s SAT Subject Test Mathematics Level 1 features: * A full-length diagnostic test * 4 full-length practice tests * Focused chapter summaries, highlights, and quizzes * Detailed answer explanations * Proven score-raising strategies * End-of-chapter quizzesKaplan is serious about raising students’ scores—we guarantee students will get a higher score, or get their money back.