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An informative, easy-to-understand resource that unveils the mysteries of CBD CBD has emerged as a popular health product, but what's all the fuss about? CBD For Dummies reveals the reasons for the surge in interest about cannabidiol (CBD) and explains how to buy and use this remarkable product safely and responsibly. In an accessible, no-nonsense manner, author Blair Lauren Brown lays out the facts about CBD and outlines the many health conditions that may be helped by using CBD oil. This book covers topics that people new to CBD have questions about. Highlights include: What CBD oil is and how it works in the body How to buy CBD from a reputable source and understanding a product's potency Knowing what conditions can be eased with CBD, including muscle pain, inflammation, autoimmune conditions, eating disorders, mental health disorders, and neurological conditions Preparing your own CBD edibles Perfect for anyone interested in understanding the therapeutic potential of CBD, CBD For Dummies introduces you to everything you need to know about this cool compound.
B.L. Brown is the CEO and Founder of Halo-Orangees, LLC and the
P-S-T (Parent-Student-Teacher) brand. She is a strong, proud
African-American divorcee that is fortunate to parent five amazing
children who are unique in every way. The genesis of Halo-Orangees,
LLC Brand: Helping Advocate Longevity of Organizations by Obtaining
Objectives through Redefining Above-Board New Generational
Guidelines for Employer Employee Standards was inspired, developed,
and birthed from her reaction to an unethical manager with whom she
had the pleasure of working for and whose style of supervision made
her stronger. The vision for Halo-Orangees' Parent-Student-Teacher
Brand is to empower all children to be self-defined rather than
"people" defined, self-directed, and self-driven. The P-S-T brand
embodies the message that all children have a purpose and can rise
above any situation and/or circumstance as long as they remain true
to themselves.
An insightful guide to understanding and visualizing multivariate statistics using SAS(R), STATA(R), and SPSS(R) Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social and biobehavioral sciences. Using real-world data and the latest software applications, the book addresses the topic in a comprehensible and hands-on manner, making complex mathematical concepts accessible to readers. The authors promote the importance of clear, well-designed graphics in the scientific process, with visual representations accompanying the presented classical multivariate statistical methods . The book begins with a preparatory review of univariate statistical methods recast in matrix notation, followed by an accessible introduction to matrix algebra. Subsequent chapters explore fundamental multivariate methods and related key concepts, including: * Factor analysis and related methods * Multivariate graphics * Canonical correlation * Hotelling's T-squared * Multivariate analysis of variance (MANOVA) * Multiple regression and the general linear model (GLM) Each topic is introduced with a research-publication case study that demonstrates its real-world value. Next, the question "how do you do that?" is addressed with a complete, yet simplified, demonstration of the mathematics and concepts of the method. Finally, the authors show how the analysis of the data is performed using Stata(R), SAS(R), and SPSS(R). The discussed approaches are also applicable to a wide variety of modern extensions of multivariate methods as well as modern univariate regression methods. Chapters conclude with conceptual questions about the meaning of each method; computational questions that test the reader's ability to carry out the procedures on simple datasets; and data analysis questions for the use of the discussed software packages. Multivariate Analysis for the Biobehavioral and Social Sciences is an excellent book for behavioral, health, and social science courses on multivariate statistics at the graduate level. The book also serves as a valuable reference for professionals and researchers in the social, behavioral, and health sciences who would like to learn more about multivariate analysis and its relevant applications.
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