Statistics Plain and Simple


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.




Statistics Plain and Simple


Book Description




Statistics Plain and Simple


Book Description




Statistics Plain and Simple


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.




Statistics Plain and Simple


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.




Outlines and Highlights for Statistics Plain and Simple by Sherri L Jackson, Isbn


Book Description

Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780534643713 .




Statistics in Plain English


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.







An Introduction to Statistical Learning


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.




Just Plain Data Analysis


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.