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Author: Sherri L. Jackson
Publisher: Cengage Learning
ISBN: 9780495808909
Category : Education
Languages : en
Pages : 400
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Book Description
Sherri Jackson’s straightforward, conversational introduction to statistics presents just what its title promises -- a plain-and-simple overview of statistics that is clear, concise, and sparing in its use of jargon. Ideal for behavioral sciences majors who need to grasp basic concepts quickly, Jackson’s text is designed to quickly build students’ confidence in understanding, calculating, and interpreting statistics. It instills a strong awareness of the interaction between statistical methods and research methods. It also provides a solid working knowledge of basic statistical cautions in research design, a strong understanding of the concept of significance, and the critical thinking skills necessary to apply these ideas. This paperback book’s modular format (22 modules across 10 chapters) chunks the material into small segments that make even difficult concepts manageable. Jackson shows why each new statistical technique is necessary before explaining it, and skillfully uses narrative to connect one module to the next. The end of each module features a summary review table, Critical Thinking Check items (with answers) review of key terms, and Module Exercises to help students master key concepts. At the end of each chapter, a detailed self-test lets students check their understanding of the concepts. These pedagogical features are a perfect complement to Jackson’s narrative, as they serve to further build students’ confidence with statistical ideas. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: Sherri L. Jackson
Publisher: Cengage Learning
ISBN: 9780495808909
Category : Education
Languages : en
Pages : 400
Get Book
Book Description
Sherri Jackson’s straightforward, conversational introduction to statistics presents just what its title promises -- a plain-and-simple overview of statistics that is clear, concise, and sparing in its use of jargon. Ideal for behavioral sciences majors who need to grasp basic concepts quickly, Jackson’s text is designed to quickly build students’ confidence in understanding, calculating, and interpreting statistics. It instills a strong awareness of the interaction between statistical methods and research methods. It also provides a solid working knowledge of basic statistical cautions in research design, a strong understanding of the concept of significance, and the critical thinking skills necessary to apply these ideas. This paperback book’s modular format (22 modules across 10 chapters) chunks the material into small segments that make even difficult concepts manageable. Jackson shows why each new statistical technique is necessary before explaining it, and skillfully uses narrative to connect one module to the next. The end of each module features a summary review table, Critical Thinking Check items (with answers) review of key terms, and Module Exercises to help students master key concepts. At the end of each chapter, a detailed self-test lets students check their understanding of the concepts. These pedagogical features are a perfect complement to Jackson’s narrative, as they serve to further build students’ confidence with statistical ideas. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: Sherri L. Jackson
Publisher: Cengage Learning
ISBN: 9781305638907
Category : Education
Languages : en
Pages : 0
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Book Description
Sherri Jackson's straightforward, conversational introduction to statistics presents just what its title promises -- a plain and simple overview of statistics that is clear, concise, and sparing in its use of jargon. Ideal for behavioral sciences majors, STATISTICS PLAIN AND SIMPLE, Fourth Edition, is designed to build students' confidence in understanding, calculating, and interpreting statistics. It instills a strong awareness of the interaction between statistical methods and research methods. It also helps students develop a solid working knowledge of basic statistical cautions in research design, a strong understanding of the concept of significance, and the critical thinking skills necessary to apply these ideas. A modular format presents the material in brief segments that make concepts manageable. Jackson shows why each statistical technique is necessary before explaining it, and skillfully uses narrative to connect one module to the next. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: Cram101 Textbook Reviews Staff
Publisher:
ISBN: 9781497044913
Category :
Languages : en
Pages : 88
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Book Description
Author: Thomas Ilvento
Publisher:
ISBN: 9781465204455
Category : Mathematics
Languages : en
Pages : 406
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Book Description
Author: Sally Caldwell
Publisher: Wadsworth Publishing Company
ISBN: 9781133955757
Category : Social sciences
Languages : en
Pages : 496
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Book Description
This straightforward, concise, conversational introduction to statistics presents a plain-and-simple overview of statistics that is sparing in its use of jargon. Readers develop a strong awareness of the interaction between statistical methods and research methods along with a solid working knowledge of basic statistical cautions in research design, an understanding of the concept of significance, and the critical thinking skills necessary to apply these ideas.
Author: Timothy C. Urdan
Publisher: Psychology Press
ISBN: 0805852417
Category : Electronic books
Languages : en
Pages : 199
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Book Description
This book is meant to be a supplement to a more detailed statistics textbook, such as that recommended for a statistics course in the social sciences. Also, as a reference book to refresh your memory about statistical concepts.
Author: Gary M. Klass
Publisher: Rowman & Littlefield Publishers
ISBN: 1442215097
Category : Political Science
Languages : en
Pages : 203
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Book Description
Just Plain Data Analysis teaches students statistical literacy skills that they can use to evaluate and construct arguments about public affairs issues grounded in numerical evidence. The book addresses skills that are often not taught in introductory social science research methods courses and that are often covered sketchily in the research methods textbooks: where to find commonly used measures of political and social conditions; how to assess the reliability and validity of specific indicators; how to present data efficiently in charts and tables; how to avoid common misinterpretations and misrepresentations of data; and how to evaluate causal arguments based on numerical data. With a new chapter on statistical fallacies and updates throughout the text, the new edition teaches students how to find, interpret, and present commonly used social indicators in an even clearer and more practical way.
Author: Steven R. Terrell
Publisher: Guilford Press
ISBN: 1462503217
Category : Social Science
Languages : en
Pages : 430
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Book Description
Written in a humorous and encouraging style, this text shows how the most common statistical tools can be used to answer interesting real-world questions, presented as mysteries to be solved. Engaging research examples lead the reader through a series of six steps, from identifying a researchable problem to stating a hypothesis, identifying independent and dependent variables, and selecting and interpreting appropriate statistical tests. All techniques are demonstrated both manually and with the help of SPSS software. The book provides students and others who may need to read and interpret statistically based research with the essential knowledge and skills needed to make decisions based on data. ? Pedagogical Features Include: *Checklists of key words and formulas in every chapter. *Examples of SPSS screenshots used for analyzing data. *Cautionary notes plus "Putting It All Together" section recaps. *End-of-chapter self-quizzes (with full answers and explanations). *Glossary of terms.
Author: Gareth James
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617
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Book Description
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, marketing, and 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. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Author: David Spiegelhalter
Publisher: Basic Books
ISBN: 1541618521
Category : Mathematics
Languages : en
Pages : 359
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Book Description
In this "important and comprehensive" guide to statistical thinking (New Yorker), discover how data literacy is changing the world and gives you a better understanding of life’s biggest problems. Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.
