STAT2002 (v.1) Quantitative Biology

Area:	Department of Environment and Agriculture
Credits:	25.0
Contact Hours:	5.0
TUITION PATTERNS:	The tuition pattern provides details of the types of classes and their duration. This is to be used as a guide only. Precise information is included in the unit outline.
Lecture:	1 x 2 Hours Weekly
Computer Laboratory:	1 x 2 Hours Weekly
Tutorial:	1 x 1 Hours Weekly
Equivalent(s):	8306 (v.9) Quantitative Biology 201 or any previous version
Prerequisite(s):	12165 (v.2) Mathematics 133 or any previous version OR 307590 (v.2) Statistical Data Analysis 101 or any previous version OR 305639 (v.1) Mathematics 135 or any previous version OR 305640 (v.1) Mathematics 136 or any previous version OR 10926 (v.5) Mathematics 103 or any previous version OR MATH1005 (v.1) Pre Calculus or any previous version OR STAT1002 (v.1) Statistical Data Analysis or any previous version OR Admission into MC-SCNCE (v.1) Master of Science (Science) or any previous version OR Admission into 308719 (v.2) Master of Science - Science or any previous version OR MATH1007 (v.1) Pre and Introductory Calculus or any previous version OR MATH1008 (v.1) Calculus and Linear Algebra or any previous version OR MATH1004 (v.1) Mathematics 1 or any previous version
UNIT REFERENCES, TEXTS, OUTCOMES AND ASSESSMENT DETAILS:	The most up-to-date information about unit references, texts and outcomes, will be provided in the unit outline.
Syllabus:	An introduction to a variety of statistical procedures which are frequently used in the biological sciences. Populations and samples, types of data, distributions, measures of central tendency and dispersion, graphing techniques, data screening, data transformation, diversity indices, one-way ANOVA, two-way ANOVA, post-hoc testing, dependent, independent and one-sample t-tests, simple linear regression and correlation, non-parametric procedures (Mann-Whitney U test, Kruskal Wallis, Spearman Rank Correlation, Chi-square and contingency tables), over-view of multivariate ecological techniques. Experimental design, interpretation of analyses and report writing. Data analysis using the statistical package SPSS.
Field of Education:	010103 Statistics
Result Type:	Grade/Mark

Availability

Year	Location	Period	Internal	Partially Online Internal	Area External	Central External	Fully Online
2015	Bentley Campus	Semester 1	Y
2015	Margaret River Campus	Semester 1	Y

Area External refers to external course/units run by the School or Department or offered by research.

Central External refers to external and online course/units run through the Curtin Bentley-based Distance Education Area

Partially Online Internal refers to some (a portion of) learning provided by interacting with or downloading pre-packaged material from the Internet but with regular and ongoing participation with a face-to-face component retained. Excludes partially online internal course/units run through the Curtin Bentley-based Distance Education Area which remain Central External

Fully Online refers to the main (larger portion of) mode of learning provided via Internet interaction (including the downloading of pre-packaged material on the Internet). Excludes online course/units run through the Curtin Bentley-based Distance Education Area which remain Central External

Handbook