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Applied Statistics II: Multivariable and Multivariate Techniques
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Applied Statistics II: Multivariable and Multivariate Techniques
Rebecca M. Warner’s bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence.
Applied Statistics II: Multivariable and Multivariate Techniques
Item #: 25078855

Applied Statistics II: Multivariable and Multivariate Techniques

89% of respondents would recommend this to a friend

Item #: 25078855

MVR 3740

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Rebecca M. Warner’s bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence.
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What Stands Out

Comprehensive Coverage
Covers advanced multivariable and multivariate statistical techniques, providing a deep understanding suitable for students and professionals looking to enhance their analytical skills.
Practical Applications
Includes real-world examples and case studies, allowing readers to apply theory to practice, making it ideal for practitioners in various fields needing data-driven decision-making.
User-Friendly Structure
Organized with clear objectives and exercises, facilitating learning and review for students, educators, and researchers seeking an accessible approach to complex statistical methods.

Product Details

Get the 3rd Edition of Applied Statistics II: Multivariable and Multivariate Techniques at the best price online. Shop at Ubuy Maldives for all your statistical analysis needs.
  • Core multivariate statistics text based on chapters from the second half of the original book
  • Includes new chapters on introduction to new statistics, handling outliers and missing values, structural equation modeling, repeated measures, and additional statistical techniques
  • Each chapter features a complete example and covers types of research questions, data screening, SPSS menu selections and output, and sample results sections
  • Incorporates by-hand computation to show the relationship between elements of the output and obtain additional information when SPSS does not provide it
  • Retains chapters on statistical control and multivariable or multivariate analyses from the previous edition with revisions
  • Accompanying website provides access to datasets used in the book
Publisher SAGE Publications, Inc
Publication date February 14, 2020
Edition 3rd
Language English
Print length 712 pages
ISBN-10 1544398727
ISBN-13 978-1544398723
Item Weight 2.4 pounds (1.09 kg)
Dimensions 8 x 0.88 x 10 inches (20.3 x 2.2 x 25.4 cm)

Who Should Buy?

Suitable For
  • Graduate Students

    Ideal for graduate students focusing on advanced statistical methods in various fields such as psychology and social sciences.

  • Data Analysts

    Useful for data analysts needing to perform complex analyses involving multiple variables and understand multivariate techniques.

  • Researchers

    Beneficial for researchers requiring robust methodologies for handling multivariable data in their statistical studies.

Not Suitable For
  • Beginners

    Not suitable for beginners in statistics, as the content may be too complex without foundational knowledge.

Product Description

Applied Statistics II: Multivariable and Multivariate Techniques

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Customer Questions & Answers

  • Question: What topics are covered in Applied Statistics II: Multivariable and Multivariate Techniques 3rd Edition?

    Answer: This edition systematically covers a range of advanced statistical methodologies, including multivariable regression, principal component analysis, and multivariate analysis of variance (MANOVA). With an emphasis on practical applications, it integrates theoretical concepts with real-world problems, making it suitable for those in fields such as social sciences, biology, and business. Whether you’re conducting research or working in analytics, these techniques are essential for interpreting complex data sets and drawing meaningful conclusions.
  • Question: Who is the target audience for Applied Statistics II: Multivariable and Multivariate Techniques 3rd Edition?

    Answer: This book primarily targets graduate students and professionals engaged in fields that require sophisticated statistical analysis. It's ideal for those studying statistics, data science, psychology, and other disciplines where data interpretation is crucial. Additionally, researchers looking to expand their quantitative research skills will find this edition invaluable as it bridges the gap between theoretical knowledge and practical application, fostering a deeper understanding of multifaceted data.
  • Question: How does this edition differ from previous versions?

    Answer: The 3rd Edition introduces updated case studies and examples that reflect current trends and technologies in data analysis. It features enhanced explanations of advanced statistical methods, focusing more on practical applications rather than pure theory. Moreover, the inclusion of software tutorials for popular statistical programs allows readers to apply the techniques discussed, ensuring they can effectively analyze and interpret data using contemporary tools. This makes it an essential resource for anyone serious about mastering multivariable and multivariate statistics.
  • Question: Can Applied Statistics II be used for self-study?

    Answer: Absolutely! This book is designed with a clear structure and comprehensive explanations that facilitate self-learning. Each chapter includes practice problems that enhance understanding and reinforce concepts, making it suitable for independent learners. Whether you are a student preparing for exams or a professional looking to refresh your skills, you can effectively study the material at your own pace, ensuring you grasp complex ideas without needing formal instruction.
  • Question: What statistical software is recommended for the techniques discussed in this book?

    Answer: The book discusses various statistical software options, including R and SPSS, among others. R is highly recommended due to its versatility and the wide array of packages available for advanced statistical techniques. SPSS is also noted for its user-friendly interface, especially beneficial for beginners. Both software options facilitate the application of the techniques covered in the book, allowing users to not only learn theory but also apply it effectively to real data sets.
  • Question: What kind of practical applications can I expect from learning the content in this book?

    Answer: Readers can apply the methods learned in diverse scenarios, from academic research to industry analytics. For instance, you might utilize multivariable regression techniques to predict consumer purchasing behavior based on demographic factors. In a business setting, these statistical tools can be pivotal in data-driven decision-making processes, such as optimizing marketing strategies or improving operational efficiency. The knowledge gained can empower professionals to analyze trends and patterns, leading to informed strategies across various sectors.
  • Question: Are there exercises or problems with solutions in the book?

    Answer: Yes, this edition includes a variety of exercises at the end of each chapter that test your understanding of the material. While some problems provide solutions, others are designed to enhance critical thinking and problem-solving skills without direct answers. This structure encourages readers to engage actively with the content, fostering a deeper comprehension of advanced statistical methods and their applications, which is particularly beneficial for students and professionals alike.
  • Question: Is this book suitable for beginners in statistics?

    Answer: While the book delves into advanced topics, it is structured to build on foundational knowledge in statistics. Readers are encouraged to have a basic understanding of statistical concepts before tackling the more complex material. This makes it a great resource for intermediate learners who want to progress in their statistical expertise. The gradual escalation of topics equips readers with the necessary tools to navigate advanced statistical techniques more effectively.
  • Question: What prerequisites should I have before reading Applied Statistics II?

    Answer: It is advisable to have a foundational understanding of basic statistical concepts, including descriptive statistics, probability theory, and simple regression analysis. A prior introduction to statistical software would also be beneficial. This background will help you grasp the more complex multivariable and multivariate techniques presented in the book, ensuring you can fully appreciate and apply the advanced methodologies discussed.
  • Question: Where can I buy Applied Statistics II: Multivariable and Multivariate Techniques 3rd Edition in Maldives?

    Answer: You can purchase Applied Statistics II: Multivariable and Multivariate Techniques 3rd Edition through Ubuy. Ubuy offers a convenient shopping experience, allowing you to find this book and have it delivered directly to your location in Maldives. They often provide competitive options for buying books online, making it straightforward to acquire the titles you need for your studies or professional development.

Statistics Editorial Review

Applied Statistics II: Multivariable and Multivariate Techniques 3rd Edition is a well-structured textbook that assists non-statistic students to navigate through the subject matter with ease. With clear language and basic mathematical concepts, this textbook is highly recommended for beginners in the field.

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  • Clear language
  • Basic mathematical concepts

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MVR 3740

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Features & Benefits

  • Bestselling textbook on applied statistics
  • Split into two volumes for ease of use
  • New chapters on introduction to new statistics and handling outliers and missing values
  • Retains previous chapters on statistical control and multivariable or multivariate analyses
  • New chapters on structural equation modeling, repeated measures, and additional statistical techniques
  • Includes complete examples and SPSS menu selections and output

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