Area: |
Department of Environmental Biology | ||||||||||||||||||||||||
Credits: |
25.0 | ||||||||||||||||||||||||
Contact Hours: |
5.0 | ||||||||||||||||||||||||
** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. ** | |||||||||||||||||||||||||
Lecture: |
3 x 1 Hours Weekly | ||||||||||||||||||||||||
Laboratory: |
1 x 2 Hours Weekly | ||||||||||||||||||||||||
Prerequisite(s): |
10926 (v.5) Mathematics 103 or any previous version OR 305639 (v.1) Mathematics 135 or any previous version OR 12165 (v.2) Mathematics 133 or any previous version |
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Syllabus: |
An introduction to a variety of statistical procedures which are frequently used in the biological sciences. Populations and samples, types of data, graphing techniques, diversity indices, distributions, measures of central tendency and dispersion, comparison of means, one-way ANOVA, two-way ANOVA (randomised block design and interaction effects), post-hoc testing, data assumptions (normality and homogeneity of variance) and associated testing, data transformation, dependent and independent t-tests, simple linear regression and correlation, and non-parametric procedures (Mann-Whitney U test, Kruskal Wallis, Spearman rank Correlation, Chi-square and contingency tables). Experimental design. Data analysis using the statistical package SPSS v 15. | ||||||||||||||||||||||||
** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. ** | |||||||||||||||||||||||||
Field of Education: | 010103 Statistics | ||||||||||||||||||||||||
Funding Cluster: | 04 - Mathematics, Statistics | ||||||||||||||||||||||||
SOLT (Online) Definitions*: | Informational *Extent to which this unit or thesis utilises online information | ||||||||||||||||||||||||
Result Type: | Grade/Mark | ||||||||||||||||||||||||
Availability |
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