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The Practice of Statistics for AP
by Daren S. Starnes Daniel S. Yates David S. MooreCombining a data analysis approach with the power of technology, innovative pedagogy, and a number of new features, the fourth edition is an impressively effective text for learning statistics.
The Practice of Statistics for Business and Economics
by David S. Moore George P. Mccabe Bruce A. Craig Layth C. AlwanWith The Practice of Statistics for Business and Economics, instructors can help students develop a working knowledge of data production and interpretation in a business and economics context, giving them the practical tools they need to make data-informed, real-world business decisions from the first day of class. With its expanded, dedicated version of LaunchPad, the text more than ever is a seamlessly integrated print/online resource, putting powerful statistical tools and interactive learning features in students' hands.
The Practice of Statistics for the AP® Course
by Daren Starnes Josh TaborExperience the best: The Practice of Statistics is the ultimate choice for AP® Statistics.Authored by seasoned high school AP® Statistics educators, Daren Starnes and Josh Tabor, along with a team of experienced AP® teacher/leaders, the Seventh Edition of The Practice of Statistics brings a fresh perspective through 9 Units that align perfectly with the CED.Created to instill a deep understanding of the core principles of statistics and the problem-solving methods involved, TPS7 equips students with the essential statistical thinking skills necessary for future endeavors, careers, and everyday decision-making, while also ensuring success on the AP® Statistics Exam. With a multitude of worked examples and practice exercises strategically placed throughout, students have plenty of opportunities to strengthen their skills on a daily basis and prepare for the exam format.And thats not all - the renowned resource program now offers even greater support with the introduction of the new Achieve digital platform. The online homework program has been revamped to provide an extensive homework and assessment system, offering comprehensive support for daily assignments, quizzes, and tests. For students who may be struggling or seeking an extra challenge, the extensive video program is there to offer guidance. Meanwhile, teachers are backed by the most comprehensive Teachers Edition and resource program available. No matter if youre a first-time or experienced AP® Statistics teacher, this program is perfect for you.Better than ever: The Practice of Statistics is the most trusted program for AP® Statistics.
The Practice of Statistics for the AP® Exam
by Daren S. Starnes Josh TaborAlong came Dan Yates. His vision for such a text became reality with the publication of The Practice of Statistics (TPS) in 1998. Over a million students have used one of the first five editions of TPS for AP® Statistics! Dan also championed the importance of developing high-quality resources for AP® Statistics teachers, which were originally provided in a Teachers' Resource Binder. We stand on the shoulders of two giants in statistics education as we carry forward their visions in this and future editions. The Practice of Statistics has continued to evolve, thanks largely to the support of our longtime editor and team captain, Ann Heath. Her keen eye for design is evident throughout the pages of the student and teacher's editions. More importantly, Ann's ability to oversee all of the complex pieces of this project while maintaining a good sense of humor is legendary. Ann has continually challenged everyone involved with TPS to innovate in ways that benefit AP® Statistics students and teachers. She is a good friend and an inspirational leader.
The Practice of Statistics (For the AP Exam)
by Daren S. Starnes Dan Yates Josh Tabor David MooreCombining a data analysis approach with the power of technology, innovative pedagogy, and a number of new features, this fifth edition has been updated to incorporate Learning Objectives in each section and link them to chapter reviews.
The Practice of Statistics for the AP® Exam
by Daren Starnes Josh Tabor Ann Heath Donald Gecewicz Lumina DatamaticsNIMAC-sourced textbook
The Practice of Statistics in the Life Sciences
by Brigitte Baldi David S. MooreThis remarkably engaging textbook gives biology students an introduction to statistical practice all their own. It covers essential statistical topics with examples and exercises drawn from across the life sciences, including the fields of nursing, public health, and allied health. Based on David Moore's The Basic Practice of Statistics, PSLS mirrors that #1 bestseller's signature emphasis on statistical thinking, real data, and what statisticians actually do. The new edition includes new and updated exercises, examples, and samples of real data, as well as an expanded range of media tools for students and instructors.
Practice of Statistics in the Life Sciences, Digital Update
by Brigitte Baldi David S. MooreThe Practice of Statistics in the Life Sciences helps students understand how to apply essential statistical skills across life sciences including nursing, public health, and allied health.
The Practice of Statistics in the Life Sciences (Fourth Edition)
by Brigitte Baldi David S. MooreThis remarkably engaging textbook gives biology students an introduction to statistical practice all their own. It covers essential statistical topics with examples and exercises drawn from across the life sciences, including the fields of nursing, public health, and allied health. Based on David Moore's The Basic Practice of Statistics, PSLS mirrors that #1 bestseller's signature emphasis on statistical thinking, real data, and what statisticians actually do. The new edition includes new and updated exercises, examples, and samples of real data, as well as an expanded range of media tools for students and instructors.
Practice-Oriented Research in Tertiary Mathematics Education (Advances in Mathematics Education)
by Rolf Biehler Michael Liebendörfer Ghislaine Gueudet Chris Rasmussen Carl WinsløwThis edited volume presents a broad range of original practice-oriented research studies about tertiary mathematics education. These are based on current theoretical frameworks and on established and innovative empirical research methods. It provides a relevant overview of current research, along with being a valuable resource for researchers in tertiary mathematics education, including novices in the field. Its practice orientation research makes it attractive to university mathematics teachers interested in getting access to current ideas and results, including theory-based and empirically evaluated teaching and learning innovations.The content of the book is spread over 5 sections: The secondary-tertiary transition; University students' mathematical practices and mathematical inquiry; Research on teaching and curriculum design; University students’ mathematical inquiry and Mathematics for non-specialists.
Practicing R for Statistical Computing
by Muhammad Aslam Muhammad Imdad UllahThis book is designed to provide a comprehensive introduction to R programming for data analysis, manipulation and presentation. It covers fundamental data structures such as vectors, matrices, arrays and lists, along with techniques for exploratory data analysis, data transformation and manipulation. The book explains basic statistical concepts and demonstrates their implementation using R, including descriptive statistics, graphical representation of data, probability, popular probability distributions and hypothesis testing. It also explores linear and non-linear modeling, model selection and diagnostic tools in R. The book also covers flow control and conditional calculations by using ‘‘if’’ conditions and loops and discusses useful functions and resources for further learning. It provides an extensive list of functions grouped according to statistics classification, which can be helpful for both statisticians and R programmers. The use of different graphic devices, high-level and low-level graphical functions and adjustment of parameters are also explained. Throughout the book, R commands, functions and objects are printed in a different font for easy identification. Common errors, warnings and mistakes in R are also discussed and classified with explanations on how to prevent them.
Practitioner’s Guide to Data Science (Chapman & Hall/CRC Data Science Series)
by Hui Lin Ming LiThis book aims to increase the visibility of data science in real-world, which differs from what you learn from a typical textbook. Many aspects of day-to-day data science work are almost absent from conventional statistics, machine learning, and data science curriculum. Yet these activities account for a considerable share of the time and effort for data professionals in the industry. Based on industry experience, this book outlines real-world scenarios and discusses pitfalls that data science practitioners should avoid. It also covers the big data cloud platform and the art of data science, such as soft skills. The authors use R as the primary tool and provide code for both R and Python. This book is for readers who want to explore possible career paths and eventually become data scientists. This book comprehensively introduces various data science fields, soft and programming skills in data science projects, and potential career paths. Traditional data-related practitioners such as statisticians, business analysts, and data analysts will find this book helpful in expanding their skills for future data science careers. Undergraduate and graduate students from analytics-related areas will find this book beneficial to learn real-world data science applications. Non-mathematical readers will appreciate the reproducibility of the companion R and python codes. Key Features: • It covers both technical and soft skills. • It has a chapter dedicated to the big data cloud environment. For industry applications, the practice of data science is often in such an environment. • It is hands-on. We provide the data and repeatable R and Python code in notebooks. Readers can repeat the analysis in the book using the data and code provided. We also suggest that readers modify the notebook to perform analyses with their data and problems, if possible. The best way to learn data science is to do it!
A Practitioner's Guide to State and Local Population Projections (The Springer Series on Demographic Methods and Population Analysis #37)
by David A. Swanson Stanley K. Smith Jeff TaymanThis book focuses on the methodology and analysis of state and local population projections. It describes the most commonly used data sources and application techniques for four types of projection methods: cohort-component, trend extrapolation, structural models, and microsimulation. It covers the components of population growth, sources of data, the formation of assumptions, the development of evaluation criteria, and the determinants of forecast accuracy. It considers the strengths and weaknesses of various projection methods and pays special attention to the unique problems that characterize small-area projections. The authors provide practical guidance to demographers, planners, market analysts, and others called on to construct state and local population projections. They use many examples and illustrations and present suggestions for dealing with special populations, unique circumstances, and inadequate or unreliable data. They describe techniques for controlling one set of projections to another, for interpolating between time points, for sub-dividing age groups, and for constructing projections of population-related variables (e. g. , school enrollment, households). They discuss the role of judgment and the importance of the political context in which projections are made. They emphasize the "utility" of projections, or their usefulness for decision making in a world of competing demands and limited resources. This comprehensive book will provide readers with an understanding not only of the mechanics of the most commonly used population projection methods, but also of the many complex issues affecting their construction, interpretation, evaluation, and use.
A Practitioner's Guide to Stochastic Frontier Analysis Using Stata
by Subal C. Kumbhakar Hung-Jen Wang Alan P. HorncastleStochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.
The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions (Chapman And Hall/crc Machine Learning And Pattern Recognition Ser.)
by Marco Scutari Mauro MalvestioMachine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life. The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions discusses how modern software engineering practices are part of this revolution both conceptually and in practical applictions. Comprising a broad overview of how to design machine learning pipelines as well as the state-of-the-art tools we use to make them, this book provides a multi-disciplinary view of how traditional software engineering can be adapted to and integrated with the workflows of domain experts and probabilistic models. From choosing the right hardware to designing effective pipelines architectures and adopting software development best practices, this guide will appeal to machine learning and data science specialists, whilst also laying out key high-level principlesin a way that is approachable for students of computer science and aspiring programmers.
Pragmatics of Uncertainty (Chapman & Hall/CRC Texts in Statistical Science)
by Joseph B. KadaneA fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author writes about how he has done it using real problems from the past, and offers additional comments about the context in which he was working.
Prandtl Equations and Related Boundary Layer Equations
by Yuming Qin Xiaolei Dong Xiuqing WangThis book aims to present some recent results on Prandtl equations and MHD boundary layer equations. This book is essentially divided into two parts. Chapter 1 as the first part systematically surveys the results till 2020 on Prandtl equations and MHD boundary layer equations. Chapter 2 to 6 are the main part of the book, which presents the local and the global well-posedness of solutions to the Prandtl equations and MHD boundary layer equations. In detail, Chapter 2 is concerned with global well-posedness of solutions to the 2D Prandtl-Hartmann equations in an analytic framework. Chapter 3 investigates the local existence of solutions to the 2D Prandtl equations in a weighted Sobolev space. Chapter 4 studies the local well-posedness of solutions to the 2D mixed Prandtl equations in a Sobolev space without monotonicity and lower bound. Chapter 5 is concerned with global existence of solutions to the 2D magnetic Prandtl equations in the Prandtl-Hartmann regime. Chapter 6 proves the local existence of solutions to the 3D Prandtl equations with a special structure. Mathematicians and physicists who are interested in fluid dynamics will find this book helpful.
Prawitz's Epistemic Grounding: An Investigation into the Power of Deduction (Synthese Library #469)
by Antonio Piccolomini d’AragonaThis book presents an in-depth and critical reconstruction of Prawitz’s epistemic grounding, and discusses it within the broader field of proof-theoretic semantics. The theory of grounds is also provided with a formal framework, through which several relevant results are proved. Investigating Prawitz’s theory of grounds, this work answers one of the most fundamental questions in logic: why and how do some inferences have the epistemic power to compel us to accept their conclusion, if we have accepted their premises? Prawitz proposes an innovative description of inferential acts, as applications of constructive operations on grounds for the premises, yielding a ground for the conclusion.The book is divided into three parts. In the first, the author discusses the reasons that have led Prawitz to abandon his previous semantics of valid arguments and proofs. The second part presents Prawitz’s grounding as found in his ground-theoretic papers. Finally, in the third part, a formal apparatus is developed, consisting of a class of languages whose terms are equipped with denotation functions associating them to operations and grounds, as well as of a class of systems where important properties of the terms can be proved.
PRAXIS Core Test Prep Flash Cards: Algebra (Exambusters PRAXIS Core Workbook #7 of 8)
by Ace Inc.<P><P><i>Advisory: Bookshare has learned that this book offers only partial accessibility. We have kept it in the collection because it is useful for some of our members. Benetech is actively working on projects to improve accessibility issues such as these.</i><P><P> 450 questions and answers that highlight introductory algebra definitions, problems, and concepts. <P><P>Topics: Algebraic Concepts, Sets, Variables, Exponents, Properties of Numbers, Simple Equations, Signed Numbers, Monomials, Polynomials, Additive and Multiplicative Inverse, Word Problems, Prime Numbers, Factoring, Algebraic Fractions, Ratio and Proportion, Variation, Radicals, Quadratic Equations <P>EXAMBUSTERS PRAXIS Prep Workbooks provide comprehensive, fundamental PRAXIS review--one fact at a time--to prepare students to take practice PRAXIS tests. Each PRAXIS study guide focuses on one specific subject area covered on the PRAXIS exam. From 300 to 600 questions and answers, each volume in the PRAXIS series is a quick and easy, focused read. Reviewing PRAXIS flash cards is the first step toward more confident PRAXIS preparation and ultimately, higher PRAXIS exam scores!
PRAXIS Core Test Prep Flash Cards: Geometry (Exambusters PRAXIS Core Workbook #8 of 8)
by Ace Inc.<P><P><i>Advisory: Bookshare has learned that this book offers only partial accessibility. We have kept it in the collection because it is useful for some of our members. Benetech is actively working on projects to improve accessibility issues such as these.</i><P><P> 450 questions and answers that focus on essential geometry theorems, postulates, concepts, and definitions. Includes complementary diagrams.<P><P> Topics: Lines and Angles, Triangles, Proofs, Perpendicular Lines, Parallel Lines, Angle Sums, Quadrilaterals, Medians, Altitudes and Bisectors, Circles, Ratio and Proportion, Similar Polygons, Circles and Regular Polygons, Coordinate Geometry <P>EXAMBUSTERS PRAXIS Prep Workbooks provide comprehensive, fundamental PRAXIS review--one fact at a time--to prepare students to take practice PRAXIS tests. Each PRAXIS study guide focuses on one specific subject area covered on the PRAXIS exam. From 300 to 600 questions and answers, each volume in the PRAXIS series is a quick and easy, focused read. Reviewing PRAXIS flash cards is the first step toward more confident PRAXIS preparation and ultimately, higher PRAXIS exam scores!
PRAXIS Core Test Prep Flash Cards: Arithmetic (Exambusters PRAXIS Core Workbook #6 of 8)
by Ace Inc.<P><P><i>Advisory: Bookshare has learned that this book offers only partial accessibility. We have kept it in the collection because it is useful for some of our members. Benetech is actively working on projects to improve accessibility issues such as these.</i><P><P> 600 questions and answers highlight essential arithmetic definitions, problems, and concepts. <P><P>Topics: Addition, Subtraction, Multiplication, and Division of Whole Numbers; Fractions and Decimals, Multiplication Tables, Word Problems, Percents, Measurement, Metric System, Square Roots and Powers, Real Numbers, Properties of Numbers <P>EXAMBUSTERS PRAXIS Prep Workbooks provide comprehensive, fundamental PRAXIS review--one fact at a time--to prepare students to take practice PRAXIS tests. Each PRAXIS study guide focuses on one specific subject area covered on the PRAXIS exam. From 300 to 600 questions and answers, each volume in the PRAXIS series is a quick and easy, focused read. Reviewing PRAXIS flash cards is the first step toward more confident PRAXIS preparation and ultimately, higher PRAXIS exam scores!
Präzises Denken für Informatiker
by Karsten WolfDas Lehrbuch befasst sich mit dem präzisen Denken, einer Schlüsselkompetenz im Studium der Informatik. Es bildet die Vorstufe für das Verständnis der logischen Grundfunktionen der Informatik. Das Erlernen der mathematischen Logik ist ein wesentlicher Bestandteil des Grundstudiums, da das logische Denken in der Informatik auf den gleichen Regeln und Techniken basiert wie in der Mathematik. Der Autor führt umfassend in die Aussagenlogik ein und erklärt unter anderem die Bedeutungen von logischer Äquivalenz, Implikation und Induktion für diesen Fachbereich. Darüber hinaus definiert er den Beweis aus Sicht der Mathematik und stellt grundlegende Beweisstrategien vor, die im Studium benötigt werden. Mit den in diesem Lehrbuch vorgestellten Techniken des präzisen Denkens erwerben die Studenten die Fähigkeit, Begriffe punktgenau zu definieren, Aussagen trennscharf zu formulieren und ihre Richtigkeit angemessen zu begründen. Viele praxisnahe Aufgaben und Lösungshinweise innerhalb der Kapitel erleichtern die Überprüfung und Vertiefung des Lernstoffs. Der Autor richtet sich vornehmlich an Bachelorstudenten der ersten Semester. Sie finden in diesem Werk eine optimale Vorbereitung auf die Logik-Seminare ihres Informatikstudiums. Die vermittelten Kompetenzen verbessern dabei nicht nur das Verständnis im Informatik-Studium, sondern sind ebenso für das spätere Berufsleben von großer Bedeutung. Darüber hinaus erhalten auch interessierte Laien mit diesem Buch einen interessanten Einblick in die Welt der Informatik und Mathematik und lernen, dass die Fähigkeit zu präzisem Denken auch jenseits dieser Fachbereiche hilfreich sein kann.
Pre-algebra
by Jennie M. Bennett David J. Chard Audrey Jackson Jim Milgram Janet K. Scheer Bert K. WaitsIn order to be a good problem solver, you need to use a good problem-solving plan. The plane used in this book is detailed below. If you have another plant that you like to use, you can use it as well.
Pre-Algebra
by Carter Cuevas Day Malloy Molix-Bailey Price WillardA new way of thinking about Algebra readiness! Focused, organized, and easy to follow, Glencoe Pre-Algebra shows your students how to read, write, and understand the unique language of mathematics, so they'll be prepared for every type of problem-solving and assessment situation.