STATISTICS AND EXPERIMENTAL DESIGN

SCI2SED

2020

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. You 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. You will develop practical skills in basic statistical analysis techniques to interpret, transform, manipulate and present data. This includes the use of  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-ordinatorPenelope Smith

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

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsThe practice of statistics in the life sciencesPrescribedBaldi, B & Moore, D 20094TH EDN, NEW YORK, W.H. FREEMAN
ReadingsCommon errors in statisticsRecommendedGood, P & Hardin, J 20124TH EDN, JOHN WILEY
ReadingsEssential mathematics and statistics for scienceRecommendedCurrell, G & Dowman, A 20052ND EDN, JOHN WILEY & SONS, NEW YORK, USA
ReadingsModern elementary statisticsRecommendedFreund, J 20071TH EDN, PRENTICE-HALL, NEW YORK USA
ReadingsThe basic practice of statisticsRecommendedMoore, DS, Notz, WI & Fligner, MA 20156TH EDN, W.H. FREEMAN, NEW YORK, USA
ReadingsPractical statistics for environmental and biological scientistsRecommendedTownsend, J 20192ND EDN, JOHN WILEY & SONS, CHICHESTER, UK

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 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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Start date between: and    Key dates

Epping, 2020, Semester 2, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorPenelope Smith

Class requirements

Lecture Week: 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 face to face or as a pre-recorded lecture followed by a flipped classroom review"

WorkShop Week: 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 Class Week: 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 elementComments% ILO*
One assignment (700 words)Written review of an undergraduate student research paper from AGR3RP2 examining suitability of study design, statistical analysis and presentation of results15 01, 02, 03, 04, 05
One 2-hour end of semester written examination (equivalent to 2000 words) 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 software45 01, 02, 03, 04, 05
Four x 20-minute online quizzes: (each equivalent to 450 words; 1800 words in total) 10% each, one quiz every 3 weeks.40 01, 02, 03, 04, 05