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Statistical Good Practice Guidelines |
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Overview of the Guides Available This series of biometric guidelines is for people working on projects dealing with renewable natural resources, but may be more widely useful. The guidelines were produced by the Statistical Services Centre at The University of Reading, UK, with support from DFID. Overview of Topics: * Statistical Guidelines for Natural Resources Projects Guides concerned with Planning: * Some Basic Ideas of Sampling * Guidelines for Planning Effective Surveys * On-Farm Trials - Some Biometric Guidelines Guides on Data Handling and Management: * Data Management Guidelines for Experimental Projects * Excel for Statistics: Tips and Warnings * Disciplined Use of Spreadsheets for Data Entry * The Role of a Database Package in Managing Research Data * Project Data Archiving - Lessons from a Case Study Guides about Analysis: * Confidence & Significance: Key Concepts of Inferential Statistics * The Statistical Background to ANOVA * Modern Approaches to the Analysis of Experimental Data * Approaches to the Analysis of Survey Data * Mixed Models and Multilevel Data Structures in Agriculture Guides to Presentation: * Informative Presentation of Tables, Graphs and Statistics The guides are available in both printed and computer-readable form. The on-line versions include additional explanations and supporting material. Please contact the SSC to obtain copies or for further information. Comments on the guides and suggestions for additional topics are welcome. FeedbackYour comments on any aspect of these guides, including suggestions for additional topics, would be welcomed. The contact details shown below can be used to send feedback directly to the SSC. SSC Contact detailsStatistical Services Centre, The University of Reading tel: +44/0 118 931 8025
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| Last updated: 26/03/2001 | © 2001 Statistical
Services Centre and The University of Reading
Comments and feedback to I.C.Dale@rdg.ac.uk |