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Principles and applications of biostatistics / Ray M. Merrill.

By: Material type: TextTextPublisher: Burlington, Massachusetts : Jones & Bartlett Learning, [2022]Edition: First editionDescription: xvii, 365 pages ; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781284225976
Subject(s): DDC classification:
  • 570.15195 23 MER
LOC classification:
  • QH323.5 .M467 2022
Other classification:
  • EDU000000
Summary: "This introductory book in Biostatistics is for students in the areas of biology, health, and medicine. It is intended for a one-semester course. It presents principles and practices of biostatistics in the context of substantive, interesting, and up-to-date applications"-- Provided by publisher.Summary: "Principles and Applications of Biostatistics covers the primary concepts and methods that are required for a fundamental understanding of the use and interpretation of statistics for the biological and health sciences-from data presentation to multiple regression and analysis of variance. With a focus clarity, brevity, and accuracy, this text provides understandable and focused explanation of statistical principles and applications along with practical examples and problems drawn from biological health and medical settings. Key Features: Practical questions follow each problem to encourage students to consider why the problem likely exists, help formulate hypotheses, and then statistically assess those hypotheses. Abundant assignment problems at the end of sections and each chapter cover a variety of application areas of biostatistics. Rationale boxes offer explanations of why certain methods are used for specific cases. Well-designed, attractive graphics that help make statistics easier to comprehend are used to present concepts, functions, and data. Applied focus encourages students to use computer applications (SPSS, R, or MS Excel) to demonstrate data analysis. Data analysis systems are used to obtain descriptive measures and basic plots (e.g. stem-and-leaf and box plots) for the purposes of exploratory data analysis-P-values in hypothesis testing and confidence intervals in descriptive and analytic assessment are discussed and included on many of the computer printouts"-- Provided by publisher.
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Item type Current library Collection Call number Status Date due Barcode
Books Books Main Library General Stacks Non-fiction 570.15195 MER (Browse shelf(Opens below)) Available MUL23070007

Includes bibliographical references and index.

"This introductory book in Biostatistics is for students in the areas of biology, health, and medicine. It is intended for a one-semester course. It presents principles and practices of biostatistics in the context of substantive, interesting, and up-to-date applications"-- Provided by publisher.

"Principles and Applications of Biostatistics covers the primary concepts and methods that are required for a fundamental understanding of the use and interpretation of statistics for the biological and health sciences-from data presentation to multiple regression and analysis of variance. With a focus clarity, brevity, and accuracy, this text provides understandable and focused explanation of statistical principles and applications along with practical examples and problems drawn from biological health and medical settings. Key Features: Practical questions follow each problem to encourage students to consider why the problem likely exists, help formulate hypotheses, and then statistically assess those hypotheses. Abundant assignment problems at the end of sections and each chapter cover a variety of application areas of biostatistics. Rationale boxes offer explanations of why certain methods are used for specific cases. Well-designed, attractive graphics that help make statistics easier to comprehend are used to present concepts, functions, and data. Applied focus encourages students to use computer applications (SPSS, R, or MS Excel) to demonstrate data analysis. Data analysis systems are used to obtain descriptive measures and basic plots (e.g. stem-and-leaf and box plots) for the purposes of exploratory data analysis-P-values in hypothesis testing and confidence intervals in descriptive and analytic assessment are discussed and included on many of the computer printouts"-- Provided by publisher.

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