5 steps to a 5: ap statistics 2024, Derksen, Jared Mcdonald, Deanna Krause

Автор: Andreasen, Corey Mcdonald, Deanna Krause
Название: 5 steps to a 5: ap statistics 2021
ISBN: 1260467163 ISBN-13(EAN): 9781260467161
Издательство: McGraw-Hill
Цена: 16010 T
Наличие на складе: Нет в наличии.
Описание:

Get ready to ace your AP Statistics Exam with this easy-to-follow, multi-platform study guide

Teacher-recommended and expert-reviewed

The immensely popular test prep guide has been updated and revised with new material and is now accessible in print, online and mobile formats. 5 Steps to a 5: AP Statistics 2021 introduces an easy to follow, effective five-step study plan to help you build the skills, knowledge, and test-taking confidence you need to reach your full potential. The book includes hundreds of practice exercises with thorough answer explanations and sample responses. You'll learn how to master the multiple-choice questions and achieve a higher score on this demanding exam.

Because this guide is accessible in print and digital formats, you can study online, via your mobile device, straight from the book, or any combination of the three. This essential guide reflects the latest course syllabus and includes three full-length practice exams, plus proven strategies specific to each section of the test.

5 Steps to a 5: AP Statistics 2021 features:

• 3 Practice Exams (both in the book + online)
• Access to the entire Cross-Platform Prep Course in AP Statistics
• Comprehensive overview of the AP Statistics exam format
• Hundreds of exercises with thorough explanations
• Proven strategies specific to each section of the test
• Powerful analytics to assess your test readiness
• Flashcards, games, and more

Автор: Derksen Jared, McDonald Deanna Krause
Название: 5 Steps to a 5: AP Statistics 2022
ISBN: 1264267347 ISBN-13(EAN): 9781264267347
Издательство: McGraw-Hill
Цена: 16010 T
Наличие на складе: Нет в наличии.

Автор: Derksen
Название: 5 Steps To A 5: Ap Statistics 2023
ISBN: 1264498624 ISBN-13(EAN): 9781264498628
Издательство: McGraw-Hill
Цена: 16010 T
Наличие на складе: Нет в наличии.
Описание: Organizations and Society examines the costs and consequences of social life that is dominated by rational control characteristic of bureaucratic organizations large and small. Students of all interests-those who wish to run organizations someday, study them, or simply understand their importance in the contemporary social order-will benefit from the insights of this text.

Автор: Krickeberg Klaus, Van Trong Pham, Thi My Hanh Pham
Название: Epidemiology: Key to Public Health. 2 ed. / Эпидемиология. Ключ к здоровью людей . 2 изд. ISBN 9783030163679
ISBN: 3030163679 ISBN-13(EAN): 9783030163679
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: ?This unique textbook presents the field of modern epidemiology as a whole; it does not restrict itself to particular aspects. It stresses the fundamental ideas and their role in any situation of epidemiologic practice. Its structure is largely determined by didactic viewpoints.Epidemiology is the art of defining and investigating the influence of factors on the health of populations. Hence the book starts by sketching the role of epidemiology in public health. It then treats the epidemiology of many particular diseases; mathematical modelling of epidemics and immunity; health information systems; statistical methods and sample surveys; clinical epidemiology including clinical trials; nutritional, environmental, social, and genetic epidemiology; and the habitual tools of epidemiologic studies. The book also reexamines the basic difference between the epidemiology of infectious diseases and that of non-infectious ones.The organization of the topics by didactic aspects makes the book ideal for teaching. All examples and case studies are situated in a single country, namely Vietnam; this provides a particularly vivid picture of the role of epidemiology in shaping the health of a population. It can easily be adapted to other developing or transitioning countries.This volume is well suited for courses on epidemiology and public health at the upper undergraduate and graduate levels, while its specific examples make it appropriate for those who teach these fields in developing or emerging countries. New to this edition, in addition to minor revisions of almost all chapters:• Updated data about infectious and non-infectious diseases• An expanded discussion of genetic epidemiology• A new chapter, based on recent research of the authors, on how to build a coherent system of Public Health by using the insights provided by this volume.

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
Рейтинг:
Цена: 76850.00 T
Наличие на складе: Ожидается поступление.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 1493938436 ISBN-13(EAN): 9781493938438
Издательство: Springer
Рейтинг:
Цена: 76160.00 T
Наличие на складе: Ожидается поступление.
Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Автор: James, Gareth Witten, Daniela Hastie, Trevor Tibsh
Название: Introduction to statistical learning
ISBN: 1071614177 ISBN-13(EAN): 9781071614174
Издательство: Springer
Рейтинг:
Цена: 55890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more.

Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers.

An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naive Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.

Автор: Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
Название: Mathematics for Machine Learning
ISBN: 110845514X ISBN-13(EAN): 9781108455145
Издательство: Cambridge Academ
Рейтинг:
Цена: 42230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.

Автор: Field, Andy Miles, Jeremy Field, Zoe
Название: Discovering statistics using r
ISBN: 1446289133 ISBN-13(EAN): 9781446289136
Издательство: Sage Publications
Рейтинг:
Цена: 63360.00 T
Наличие на складе: Нет в наличии.
Описание: The R version of Andy Field`s hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R - a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences.

Автор: Field, Andy
Название: Discovering statistics using ibm spss statistics
ISBN: 1526419521 ISBN-13(EAN): 9781526419521
Издательство: Sage Publications
Рейтинг:
Цена: 40130.00 T
Наличие на складе: Нет в наличии.
Описание: Unrivalled in the way it makes the teaching of statistics through the use of IBM SPSS statistics compelling and accessible to even the most anxious of students. The only statistics textbook you and your students will ever need just got better!

Автор: McElreath, Richard
Название: Statistical Rethinking
ISBN: 036713991X ISBN-13(EAN): 9780367139919
Издательство: Taylor&Francis
Рейтинг:
Цена: 83690.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds knowledge/confidence in statistical modeling. Pushes readers to perform step-by-step calculations (usually automated.) Unique, computational approach.

Автор: Mardia
Название: Directional Statistics
ISBN: 0471953334 ISBN-13(EAN): 9780471953333
Издательство: Wiley
Рейтинг:
Цена: 153070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents new and up--dated material on both the underlying theory and the practical methodology of directional statistics, helping the reader to utilise and develop the techniques appropriate to their work. The book is divided into three parts. The first part concentrates on statistics on the circle.

Автор: Michael C. Whitlock, Dolph Schluter
Название: The Analysis of Biological Data
ISBN: 1319325343 ISBN-13(EAN): 9781319325343
Издательство: Macmillan Learning
Рейтинг:
Цена: 92390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.

Автор: Field, Andy
Название: Discovering Statistics Using R
ISBN: 1446200469 ISBN-13(EAN): 9781446200469
Издательство: Sage Publications
Рейтинг:
Цена: 85530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The R version of Andy Field`s hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R - a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences.

Автор: Hinders Duane C.
Название: 5 Steps to a 5: AP Statistics
ISBN: 0071621881 ISBN-13(EAN): 9780071621885
Издательство: McGraw-Hill
Рейтинг:
Цена: 16010.00 T
Наличие на складе: Нет в наличии.
Описание:

A Perfect Plan for the Perfect Score

We want you to succeed on your AP* exam. That's why we've created this 5-step plan to help you study more effectively, use your preparation time wisely, and get your best score. This easy-to-follow guide offers you a complete review of your AP course, strategies to give you the edge on test day, and plenty of practice with AP-style test questions. You'll sharpen your subject knowledge, strengthen your thinking skills, and build your test-taking confidence with Full-length practice exams modeled on the real test All the terms and concepts you need to know to get your best score Your choice of three customized study schedules--so you can pick the one that meets your needs

The 5-Step Plan helps you get the most out of your study time:
Step 1: Set Up Your Study Program
Step 2: Determine Your Readiness
Step 3: Develop the Strategies
Step 4: Review the Knowledge
Step 5: Build Your Confidence

Topics include: Overview of Statistics/Basic Vocabulary; One-Variable Data Analysis; Two-Variable Data Analysis; Design of a Study: Sampling, Surveys, and Experiments; Random Variables and Probability; Binomial Distributions, Geometric Distributions, and Sampling Distributions; Confidence Intervals and Introduction to Inference; Inference for Means and Proportions; and Inference for Regression
Also includes: Practice tests

*AP, Advanced Placement Program, and College Board are registered trademarks of the College Entrance Examination Board, which was not involved in the production of, and does not endorse, this product.