Título: Applied Statistics and the SAS Programming Language
Autor(s): Ron P. Cody et Jeffrey K. Smith
Editor: Pearson
Año de publicación: 2005
Estado: Segunda mano - Bueno
ISBN : 9780131465329
Comentario: Edición 2006. Pequeña/s marca/s de pliegue en la cubierta.. Ammareal le reembolsa hasta un 15 % del precio neto de este libro a las organizaciones sin.
Ammareal reintegra el 15 % del precio a las organizaciones de caridad.
"Sinopsis" puede pertenecer a otra edición de este libro.
Suitable for use by departments ranging from statistics and Engineering to Psychology and Education when the objective of the course is to learn to use the SAS programming language to perform statistical analysis. As the SAS (c) programming language continues to evolve, this new edition follows suit with up-to-date coverage of this combination statistical package, database management system, and high-level programming language. Using examples from business, medicine, education, psychology, and other disciplines,Applied Statistics and the SAS Programming Language is an invaluable resource for both students and applied researchers, giving them the capacity to perform statistical analyses with SAS without wading through pages of technical documentation.
As the SAS(c) programming language continues to evolve, this guide follows suit with timely coverage of the combination statistical package, database management system, and high-level programming language. Using current examples from business, medicine, education, and psychology, " Applied Statistics and the SAS Programming Language "is an invaluable resource for applied researchers, giving them the capacity to perform statistical analyses with SAS without wading through pages of technical documentation. Includes the necessary SAS statements to run programs for most of the commonly used statistics, explanations of the computer output, interpretations of results, and examples of how to construct tables and write up results for reports and journal articles. Illustrated with SAS Graph(TM) output. Provides readers with ample models for developing programming skills. For anyone interested in learning more about applied statistics and the SAS programming language.
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