Agricultural Statistical Data Analysis Using Stata

Name: Agricultural Statistical Data Analysis Using Stata
Brand: Taylor & Francis Ltd
SKU: 9781138401495
Price: 1491.02 RON
Availability: InStock

Autor: George Boyhan

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Legare: Copertă tare

Editura: Taylor & Francis Ltd

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Practical statistics is a powerful tool used frequently by agricultural researchers and graduate stu...

Informații despre carte

Autor

George Boyhan

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2017

Pagini

264

EAN

9781138401495

ISBN

9781138401495

Enbook ID

18170653

Editura

Taylor & Francis Ltd

Greutate

454

Dimensiuni

156 x 234

Descriere completă

Practical statistics is a powerful tool used frequently by agricultural researchers and graduate students involved in investigating experimental design and analysis. One of the most widely used statistical analysis software packages for this purpose is Stata. The Stata software program has matured into a user-friendly environment with a wide variety of statistical functions. Agricultural Statistical Data Analysis Using Stata introduces readers to the use of Stata to solve agricultural statistical problems. The book begins with an overview of statistical software and the Stata program. It explains the various windows and menus and describes how they are integrated. The next chapters explore data entry and importing as well as basic output formats and descriptive statistics. The author describes the ever-increasing design complexity and how this is implemented in the software. He reviews one of Stata‘s strongest features, which is its programming ability. He also examines post hoc tests as well as Stata‘s graphing capabilities. The final chapters provide information on regression analysis, data transformations, and the analyses of non-parametric data. Many agricultural researchers are unprepared for the statistics they will need to use in their profession. Written in an easy-to-read format with screen shots and illustrations, the book is suitable for a wide audience, including beginners in statistics who are new to Stata, as well as more advanced Stata users and those interested in more complex designs.

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