sci2sed statistics experimental design
STATISTICS AND EXPERIMENTAL DESIGN
SCI2SED
2019
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 statistical software 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-ordinatorMichael Stear
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 identify the effect of design on interpretation of results
- Activities:
- Lectures will be used to deliver theoretical knowledge and provide relevant examples; tutorials will provide students with the opportunity to apply knowledge through problem solving activities
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Personal and Professional Skills(Autonomy and independence,Study and Learning Skills)
- Personal and Professional Skills(Autonomy and independence,Study and Learning Skills)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
02. Apply fundamental concepts of data, population and samples, measures of central tendency, variability and dispersion, probabilities and normal distribution
- Activities:
- Lectures will be used to deliver theoretical knowledge and provide relevant examples; tutorials will provide students with the opportunity to apply knowledge through problem solving activities
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Personal and Professional Skills(Autonomy and independence,Study and Learning Skills)
- Personal and Professional Skills(Autonomy and independence,Study and Learning Skills)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
03. Select and perform appropriate basic statistical methods, such as confidence intervals, hypothesis tests, regression and ANOVA
- Activities:
- Lectures will be used to deliver theoretical knowledge and provide relevant examples; tutorials will build understanding and confidence in the application of different statistical methods; real world datasets will be utilised to provide instruction in the use of software to perform statistical tests
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Personal and Professional Skills(Autonomy and independence,Study and Learning Skills)
- Personal and Professional Skills(Autonomy and independence,Study and Learning Skills)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
04. Summarise data and present statistical findings appropriately using correct terminology
- Activities:
- Lectures will be used to deliver theoretical knowledge and provide appropriate examples; tutorials utilising real world data sets will provide instruction in the use of software to appropriately summarise data in a variety of graphical formats; problem solving activities will develop understanding and confidence in selection of appropriate methods for presentation of data and analyses
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Personal and Professional Skills(Autonomy and independence,Study and Learning Skills)
- Personal and Professional Skills(Autonomy and independence,Study and Learning Skills)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
05. Interpret results of statistical analyses and report the conclusions in a clear and comprehensible manner
- Activities:
- Lectures will be used to deliver theoretical concepts and provide appropriate examples; tutorials utilising real world statistical test results will develop understanding and confidence in interpreting results and drawing suitable conclusions
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Personal and Professional Skills(Autonomy and independence,Study and Learning Skills)
- Personal and Professional Skills(Autonomy and independence,Study and Learning Skills)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
Subject options
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Epping, 2019, Semester 2, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorPenelope Smith
Class requirements
LectureWeek: 31 - 43
One 2.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via blended.
"Delivered as both face to face or as a pre recorded lecture followed by a flipped classroom review"
WorkShopWeek: 31 - 43
One 2.0 hours workshop per week on weekdays during the day from week 31 to week 43 and delivered via blended.
"Delivered as part of the flipped classroom
"
Unscheduled Online ClassWeek: 31 - 43
One 1.0 hours unscheduled online class per week on weekdays during the day from week 31 to week 43 and delivered via online.
"Tasks to be completed on line using student management systems
"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Three assignments (1500 words total equivalent) | Assignment 1: students will collate and perform basic descriptive summary statistics on a small dataset 10% (300 words equivalent) Assignment 2 - students will perform basic statistical test on a small dataset, and interpret and present findings of the analysis 10% (450 words equivalent) Assignment 3: written review of an undergraduate student research paper from AGR3RP2 examining suitability of study desig | 40 | 01, 02, 03, 04, 05 |
| One 2-hour end of semester written examination | End of semester examination held during examination period. Consisting of multiple choice and short answer questions, including performing data analysis and data presentation using statistical software | 30 | 01, 02, 03, 04, 05 |
| Four x 15-minute online quizzes: (1000 words total equivalent) | 7.5% each, one quiz every 3 weeks. | 30 | 01, 02, 03, 04, 05 |