GOOD PRACTICE GUIDES

University of Reading Statistical Services Centre

General Overview

  1. Statistical Guidelines for Natural Resources Projects

    2. Guides on Planning

  2. Concepts Underlying The Design of Experiments
  3. Some Basic Ideas of Sampling
  4. Guidelines for Planning Effective Surveys
  5. On-Farm Trials - Some Biometric Guidelines
  6. One Animal per Farm

    7. Guides on Data Management

  7. Data Management Guidelines for Experimental Projects
  8. Excel for Statistics: Tips and Warnings
  9. Disciplined Use of Spreadsheet Packages for Data Entry
  10. The Role of a Database Package in Managing Research Data
  11. Project Data Archiving - Lessons from a Case Study
  12. Competent Data Management - a key component. Part I - Elements of a Good Data Entry System
  13. Competent Data Management - a key component. Part II - Illustrating the data entry application using CS-Pro

    14. Guides on Analysis

  14. Confidence and Significance: Key Concepts of Inferential Statistics
  15. The Statistical Background to ANOVA
  16. Modern Approaches to the Analysis of Experimental Data
  17. Approaches to the Analysis of Survey Data
  18. Modern Methods of Analysis
  19. Mixed Models and Multilevel Data Structures in Agriculture

    20. Guides on Presentation

  20. Informative Presentation of Tables, Graphs and Statistics