Statistical Guides: Moving on from MSTAT
Langues disponibles :
Langues disponibles :
Daté : mars 2000
Auteur : Statistical Services Centre
From the introduction:"This guide has been written as part of our work for DFID to encourage good statistical practice. It is to assist research teams in planning their computing strategy. MSTAT has been effective in many developing countries, in introducing statistical computing to staff who have had no previous experience. It remains a useful package for the design of trials and for some of its specialist facilities, in particular for breeding programs. However, MSTAT is limited in its facilities for the analysis of experimental data and relatively cumbersome to use for the Analysis of Variance, compared to the ease of use of modern statistical software under Windows. A recent development is that at least one modern statistics package can read MSTAT files directly. This increases the flexibility of analyses both for staff who have historical data in MSTAT files and for those who would like to combine their use of MSTAT with the transfer to more powerful software when the need arises. This guide illustrates some advantages in using a more powerful package than MSTAT for the design and analysis of experimental data. We use Genstat for this purpose for two reasons. Firstly, Genstat is an excellent package for the analysis of data from agricultural experiments and secondly Genstat has provided the facility for the transfer of MSTAT files. We believe that it is now much easier to learn a new Windows package, compared to a few years ago and that full exploitation of experimental data needs access to a modern statistical package, such as Genstat" Part of a series of statistical guides by The University of Reading Statistical Services Centre, which were originally written as part of a contract with DFID to give guidance to research and support staff working on DFID Natural Resources projects. They provide guidelines for staff involved in the development and presentation of research projects. The guidelines are intended to help researchers to identify their biometric or statistical needs.
Guide
Statistical Guides: Approaches to the Analysis of Survey Data
A booklet giving guidance on how to approach the analysis of survey data. "This guide is concerned with some f...
Guide
Statistical Guides: Concepts Underlying the Design of Experiments
A booklet giving guidance on the key concepts of experimental design. "This guide describes the main concepts...
Guide
Statistical Guides: Data Management Guidelines for Experimental Projects
A booklet giving guidance on managing data for research projects. Planning the data management aspects of a pr...
Guide
Statistical Guides: Guidelines for Planning Effective Surveys
A booklet on planning surveys for research. The guide covers planning, when a survey is appr...
Guide
Statistical Guides: Confidence and Significance - Key Concepts of Inferential Statistics
A booklet giving an overview of inferential statistics. This includes concepts such as estimation, hypothesis...
Guide
Statistical Guides: Mixed Models and Multilevel Data Structures in Agriculture
A booklet aiming to help the reader understand what heirarchical data structures are and how they may be analy...
Guide
Statistical Guides: Modern Approaches to the Analysis of Experimental Data
A booklet giving guidance on analysis of data. It discusses the three main parts of the process: relating the...
Guide
Statistical Guides: Modern Methods of Analysis
A booklet which follows on from the guides 'Approaches to the Analysis of Survey Data' and 'Modern Approaches...
Guide
Statistical Guides: On-Farm Trials – Some Biometric Guidelines
A booklet giving guidance on how to design and conduct an on-farm experiment with the participation of farmers...
Guide
Statistical Guides: One Animal Per Farm? A guide to resolving the statistical difficulties encountered by on-farm researchers working with small livestock numbers in the developing world
A short booklet addressing the specific difficulties encountered in agricultural experimentation when conducti...
Guide
Statistical Guides: Informative Presentation of Tables, Graphs and Statistics
A guide for good practice in presenting information in the form of tables, graphs and statistics.From the intr...
Guide
Statistical Guides: The Role of a Database Package for Research Projects
A booklet providing guidance on the strengths and weaknesses of sprea...
Guide
Statistical Guides: Some Basic Ideas of Sampling
From the introduction: "This booklet is about ideas needed to devise a...
Guide
Statistical Guides: Disciplined Use of Spreadsheet Packages for Data Entry (2nd Edition: Revised for Excel 2007)
This booklet gives guidance on best practice for using Excel in an appropriate way in order to facilitate effe...
Guide
Statistical Guides: The Statistical Background to ANOVA
From the introduction:"This material was first produced as the statis...
Guide
Statistical Guides: Statistical Guidelines for Natural Resources Projects
This is the first in the series of guides aimed at supporting staff involved in research projects to identify...
Guide
Statistical Guides: Using Excel for Statistics - Tips and Warnings
A booklet aimed at staff working withing research projects, providing information about using Excel for statis...