sci2sed statistics experimental design
STATISTICS AND EXPERIMENTAL DESIGN
SCI2SED
2016
Credit points: 15
Subject outline
This subject will provide an introduction to statistical concepts and techniques and the application of statistics in management and decision making in a variety of primary industries contexts. Students will develop a practical knowledge of selected statistical concepts, theories and methodologies including an understanding of experimental design and sampling techniques within a management context for a range of primary industries. Students will develop practical skills in basic statistical analysis techniques to interpret, transform, manipulate and present data. This includes the use of a variety of statistical software packages to analyse and interpret sample data summaries and draw inferences that inform enterprise and industry decision-makers. An understanding of and the ability to use appropriate terminology will assist students to develop confidence in presenting findings and in-turn enhance future career opportunities.
SchoolSchool of Life Sciences
Credit points15
Subject Co-ordinatorGary Clark
Available to Study Abroad StudentsNo
Subject year levelYear Level 2 - UG
Exchange StudentsNo
Subject particulars
Subject rules
Prerequisites Admission into SBATE
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjectsN/A
Special conditionsN/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | The practice of statistics in the life sciences | Prescribed | Baldi, B & Moore, D 2009 | NEW YORK, W.H. FREEMAN |
| Readings | Common errors in statistics | Recommended | Good, P & Hardin, J 2006 | 2ND EDN, JOHN WILEY AND SONS, NEW YORK, USA |
| Readings | Essential mathematics and statistics for science | Recommended | Currell, G & Dowman, A 2005 | JOHN WILEY & SONS, NEW YORK, USA |
| Readings | Modern elementary statistics | Recommended | Freund, J 2003 | 11TH EDN, PRENTICE-HALL, NEW YORK USA |
| Readings | Statistics and experimental design: an introduction for biologists and biochemists | Recommended | Clarke, G 2003 | 3RD EDN, HODDER ARNOLD, NEW YORK USA |
| Readings | The basic practice of Statistics | Recommended | Moore, D 2010 | 5TH EDN, W.H. FREEMAN, NEW YORK, USA |
Graduate capabilities & intended learning outcomes
01. Describe concepts of experimental design and the effect of design concepts on interpretation of results in an agricultural context
- Activities:
- A number of case studies will be used in lectures and tutorials to show examples of experiments and trials suitable to the various agricultural industries. The design of laboratory and field experiments will be covered.
- Related graduate capabilities and elements:
- Discipline-specific GCs(Discipline-specific GCs)
- Critical Thinking(Critical Thinking)
- Inquiry/ Research(Inquiry/ Research)
02. Use statistical concepts such as confidence intervals, P-values, hypothesis tests and significance to compare sample means and proportions
- Activities:
- Commonly used statistical concepts will be presented in lectures and developed in tutorial exercises. The used of statistics and their interpretation in literature will be discussed in group exercises.
- Related graduate capabilities and elements:
- Inquiry/ Research(Inquiry/ Research)
- Critical Thinking(Critical Thinking)
- Discipline-specific GCs(Discipline-specific GCs)
- Quantitative Literacy/ Numeracy(Quantitative Literacy/ Numeracy)
03. Develop and apply sound estimation and prediction procedures for simple linear regression based on least squares methods
- Activities:
- Methods of estimation and prediction will be presented and discussed in lectures and tutorials.
- Related graduate capabilities and elements:
- Discipline-specific GCs(Discipline-specific GCs)
- Critical Thinking(Critical Thinking)
- Inquiry/ Research(Inquiry/ Research)
- Quantitative Literacy/ Numeracy(Quantitative Literacy/ Numeracy)
04. Use statistical software packages, such as SPSS to analyse and interpret sample data summaries and to draw valid conclusions from the results of statistical inference
- Activities:
- Tutorials and workshops will be used to familiarise students with the statistical capabilities of common software programs such as Excel and specialised packages such as SPSS.
- Related graduate capabilities and elements:
- Discipline-specific GCs(Discipline-specific GCs)
- Quantitative Literacy/ Numeracy(Quantitative Literacy/ Numeracy)
- Critical Thinking(Critical Thinking)
- Inquiry/ Research(Inquiry/ Research)
05. Present findings in an appropriate form using correct terminology
- Activities:
- Tutorials and assignments will be used to improve the student's ability to express their findings in appropriate language.
- Related graduate capabilities and elements:
- Writing(Writing)
- Speaking(Speaking)
Subject options
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Epping, 2016, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorGary Clark
Class requirements
WorkShopWeek: 10 - 22
One 3.0 hours workshop per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
WorkShopWeek: 10 - 22
One 2.0 hours workshop per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignments (4 assignments approx. 1800 words) | 50 | 01, 02, 03, 04, 05 | |
| Final exam (2 hours) | 30 | 03, 04 | |
| Mid-semester test (1 hour) | 20 | 01, 02 |