Introductory Statistics for the Health Sciences

Authors : Beasley, William Howard; DeShea, Lise; Toothaker, Larry E
Edition :
Year : 2015
Description :

Introductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing students with a strong, practical foundation in statistics. Using a color format throughout, the book contains engaging figures that illustrate real data sets from published research. Examples come from many areas of the health sciences, including medicine, nursing, pharmacy, dentistry, and physical therapy, but are understandable to students in any field. The book can be used in a first-semester course in a health sciences program or in a service course for undergraduate students who plan to enter a health sciences program.

The book begins by explaining the research context for statistics in the health sciences, which provides students with a framework for understanding why they need statistics as well as a foundation for the remainder of the text. It emphasizes kinds of variables and their relationships throughout, giving a substantive context for descriptive statistics, graphs, probability, inferential statistics, and interval estimation. The final chapter organizes the statistical procedures in a decision tree and leads students through a process of assessing research scenarios.

Web ResourceThe authors have partnered with William Howard Beasley, who created the illustrations in the book, to offer all of the data sets, graphs, and graphing code in an online data repository via GitHub. A dedicated website gives information about the data sets and the authors’ electronic flashcards for iOS and Android devices. These flashcards help students learn new terms and concepts.

Features

• Presents lively examples drawing on data from real research studies, such as exercise during pregnancy and tai chi for patients with a chronic condition, in an understandable way for math-phobic learners
• Emphasizes conceptual understanding, with formulas introduced only when necessary to support concepts
• Requires no prior knowledge of statistics and builds from a foundational chapter about research and variables
• Offers many student-friendly features, including a conversational writing style, frequent Check Your Understanding questions and answers, chapter exercises enlivened by understandable research scenarios, and e-flashcards for iOS and Android devices
• Demonstrates transparency in research by offering all data sets, figures, and graphing code via an online data repository described on a supplementary 

Content: 

• The frontier between knowledge and ignorance --
• Describing distributions with statistics: middle, spread and skewness --
• Exploring data visually --
• Relative location and normal distributions --
• Bivariate correlation --
• Probability and risk --
• Sampling distributions and estimation --
• Hypothesis testing and interval estimation --
• Types of errors and power --
• One-sample tests and estimates --
• Two-sample tests and estimates --
• Tests and estimates for two or more samples --
• Tests and estimates for bivariate linear relationships --
• Analysis of frequencies and ranks --
• Choosing an analysis plan

Link Download :  httpdodd2196F