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8306 (v.9) Quantitative Biology 201


 

Area:

Department of Environmental Biology

Credits:

25.0

Contact Hours:

5.0

Lecture:

3 x 1 Hours Weekly

Laboratory:

1 x 2 Hours Weekly

Prerequisite(s):

    1765 (v.2) Mathematics 113 or any previous version
    OR
    2314 (v.4) Mathematics 021 or any previous version
AND
4880 (v.3) Information Technology 111 or any previous version

Syllabus:

Types of data. Graphing techniques. Diversity indices. Continuation of diversity indices. Experimental testing procedures. Comparing means. One-way ANOVA. Scheffe tests. MINITAB introduction. Fisher's testing. MINITAB - one-way ANOVA, two-way ANOVA, randomised block design and application. ANOVA assumptions, Levene Test for variance equality. Two-way ANOVA with replication, Interaction effects. MINITAB - tabulation for two-way. ANOVA mean summaries. t-test dependent samples (repeated measures), t-test independent = one-way ANOVA. CHI-SQUARE - introduction, contingency tables, MINITAB. Regression - MINITAB, correlation. Mann-Whitney U Test (non parametric). Spearman Rank Correlation (non parametric). Kruskal Wallis. Kendall's Coefficient of Concordance (or specific instructions to appropriate references).Transformation of data.
 

Unit Outcomes:

On successful completion of this unit students will have gained the ability to summarise data both manually and using the MINITAB (or SPSS) computer package, interpret data summaries, select appropriate statistical procedures for given and collected datasets, and to subsequently analyse the data set and interpret the output and design appropriate field and laboratory trials and experiments.

Texts and references listed below are for your information only and current as of September 30, 2003. Some units taught offshore are modified at selected locations. Please check with the unit coordinator for up-to-date information and approved offshore variations to unit information before finalising study and textbook purchases.

Unit References:

Keppel, G., 1991, revised 3rd ed., 'Design and Analysis: A Researcher's Handbook', Prentice-Hall, New Jersey. Norusis, M.J., 1998, SPSS 8.0. Guide to Data Analysis', Prentice Hall, New Jersey. Siegal, S. and Castellan, J., 1988, revised 2nd ed, 'Non-parametric Statistics for the Behavioural Sciences', McGraw-Hill, New York. Moore, D. S., 1993, 2nd ed, 'Introduction to the Practice of Statistics', Freeman.

Unit Texts:

Zar, J.H. , 1999, 4th ed, 'Biostatistical Analysis', Prentice-Hall, New Jersey. Ryan, B.F. and Joiner, B.L., 2001, 4th ed, 'Minitab Handbook', Brooks/Cole, Canada.
 

Unit Assessment Breakdown:

Lecture and Laboratory Attendance 5%. Mini-Assignment 5%. Assignment 35%. Examination 55%.

Field of Education:

 10103 Statistics

HECS Band (if applicable):

2  

Extent to which this unit or thesis utilises online information:

 Informational  

Result Type:

 Grade/Mark


Availability

YearLocationPeriodInternalArea ExternalCentral External
2004Bentley CampusSemester 1Y  

Area
External
refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research.
Central
External
refers to external course/units run through the Curtin Bentley-based Distance Education Area

 
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