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Data analysis plans : a blueprint for success using SAS /

Data Analysis Plans: A Blueprint for Success Using SAS gets you started on building an effective data analysis plan with a solid foundation for planning and managing your analytics projects. Data analysis plans are critical to the success of analytics projects and can improve the workflow of your pr...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Jablonski, Kathleen A. (Autor), Guagliardo, Mark Frances (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cary, NC : SAS Institute, 2016.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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100 1 |a Jablonski, Kathleen A.,  |e author. 
245 1 0 |a Data analysis plans :  |b a blueprint for success using SAS /  |c Kathleen Jablonski, Mark Guagliardo. 
246 3 0 |a Blueprint for success using SAS 
264 1 |a Cary, NC :  |b SAS Institute,  |c 2016. 
300 |a 1 online resource (1 volume) :  |b illustrations 
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588 |a Description based on online resource; title from title page (Safari, viewed August 26, 2016). 
500 |a Includes index. 
520 |a Data Analysis Plans: A Blueprint for Success Using SAS gets you started on building an effective data analysis plan with a solid foundation for planning and managing your analytics projects. Data analysis plans are critical to the success of analytics projects and can improve the workflow of your project when implemented effectively. This book provides step-by-step instructions on writing, implementing, and updating your data analysis plan. It emphasizes the concept of an analysis plan as a working document that you update throughout the life of a project. This book will help you manage the following tasks: control client expectations limit and refine the scope of the analysis enable clear communication and understanding among team members organize and develop your final report SAS users of any level of experience will benefit from this book, but beginners will find it extremely useful as they build foundational knowledge for performing data analysis and hypotheses testing. Subject areas include medical research, public health research, social studies, educational testing and evaluation, and environmental studies. 
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700 1 |a Guagliardo, Mark Frances,  |e author. 
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