|
Following most flora and fauna surveys the data collected are analysed
using appropriate statistical tests to search for patterns (e.g.
variation in species richness among different vegetation types).
It is crucial that such surveys should be planned with the final
data analyses in mind. It is beyond the scope of this unit to fully
demonstrate and utilise the numerous statistical tests described
in Univariate Statistics and Multivariate Statistics
below. However, it is important that you gain a broad understanding
of
- the different types of statistical tests available
- the correct circumstances in which to use these tests.
Without a comprehensive understanding of these statistical analyses
it is important to seek expert advice early in the survey
planning stages, and an appreciation of the basic types of tests
available will assist you in utilising this advice.
A fuller understanding of the range of statistical analyses available
and how to conduct these analyses is covered in the unit Design
& Analysis of Environmental Studies http://learnline.cdu.edu.au/mtem/sbi504/index.html.
Descriptive Statistics and Diversity Measures are
also described below, and a demonstrated understanding of these
concepts is required in this unit.
Your Reading by Hone
 |
Please read
Reading 6
Hone, J. (1991). Analysis of animal survey data. In: Margules,
C.R & Austin, M.P. (eds.) Nature Conservation: Cost Effective
Surveys and Data Analysis. CSIRO, Canberra.
This reading provides a comprehensive overview of many types
of statistical analysis. Read this first before you visit
the overviews below.
An overview of different types of analysis is given below.
|
 |
6.2
As you read through the different types complete the following
comparison table in your ejournal
|
type
|
uses
|
any strengths or limitations?
|
|
|
|
|
|
|
