Jan M. Yates – författare

The wide array of possibilities for interactive distance learning in today's schools can be daunting. This book will help educators make the transition from technology-based learning modalities and integrate elements of distance learning into the curriculum. With emphasis on Internet-based delivery formats, author Jan M. Yates presents the latest research and proven techniques for creating effective distance-learning opportunities that enhance student achievement. This guide is indispensable for anyone serious about distance learning.Included are an introduction, models and examples of distance learning, distance learning settings, discussions of support technologies and their uses, evaluation of interactive distance learning activities, a wealth of information about Web sites, vendors, and useful materials.

This book introduces the open source R software language that can be implemented in biostatistics for data organization, statistical analysis, and graphical presentation.

This book introduces the open source R software language that can be implemented in biostatistics for data organization, statistical analysis, and graphical presentation.

This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences:To introduce when nonparametric approaches to data analysis are appropriateTo introduce the leading nonparametric tests commonly used in biostatistics and how R is used to generate appropriate statistics for each testTo introduce common figures typically associated with nonparametric data analysis and how R is used to generate appropriate figures in support of each data set The book focuses on how R is used to distinguish between data that could be classified as nonparametric as opposed to data that could be classified as parametric, with both approaches to data classification covered extensively. Following an introductory lesson on nonparametric statistics for the biological sciences, the book is organized into eight self-contained lessons on various analyses and tests using R to broadly compare differences between data sets and statistical approach.