STATISTICS AND EXPERIMENTAL DESIGN
SCI2SED
2021
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.
SchoolLife Sciences
Credit points15
Subject Co-ordinatorMichael Stear
Available to Study Abroad/Exchange StudentsNo
Subject year levelYear Level 2 - UG
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
Subject particulars
Subject rules
Prerequisites Admission into SBATE
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjectsN/A
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Learning resources
Practical statistics for environmental and biological scientists
Resource TypeBook
Resource RequirementRecommended
AuthorTownsend, J
Year2019
Edition/Volume2ND EDN
PublisherJOHN WILEY & SONS, CHICHESTER, UK
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
The practice of statistics in the life sciences
Resource TypeBook
Resource RequirementRecommended
AuthorBaldi, B & Moore, D
Year2018
Edition/Volume4TH EDN
PublisherNEW YORK, W.H. FREEMAN
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Common errors in statistics
Resource TypeBook
Resource RequirementRecommended
AuthorGood, P & Hardin, J
Year2012
Edition/Volume4TH EDN
PublisherJOHN WILEY
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Essential mathematics and statistics for science
Resource TypeBook
Resource RequirementRecommended
AuthorCurrell, G & Dowman, A
Year2009
Edition/Volume2ND EDN
PublisherJOHN WILEY & SONS, NEW YORK, USA
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
The basic practice of statistics
Resource TypeBook
Resource RequirementRecommended
AuthorMoore, DS, Notz, WI & Fligner, MA
Year2018
Edition/Volume8TH EDN
PublisherW.H. FREEMAN, NEW YORK, USA
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Modern elementary statistics
Resource TypeBook
Resource RequirementRecommended
AuthorFreund, J
Year2007
Edition/Volume12TH EDN
PublisherPRENTICE-HALL, NEW YORK USA
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
An introduction to statistical analysis in research: with applications in the biological and life sciences
Resource TypeBook
Resource RequirementPrescribed
AuthorWeaver, KF, Godde, K, Morales, VC, Weaver, PF & Dunn, SL
Year2018
Edition/VolumeN/A
PublisherJohn Wiley & Sons Ltd
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptione-book
Source locationN/A
Career Ready
Career-focusedNo
Work-based learningNo
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Subject options
Select to view your study options…
Epping (Melbourne Polytechnic), 2021, Semester 2, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorMichael Stear
Class requirements
LectureWeek: 30 - 42
One 2.00 hours lecture per week on weekdays during the day from week 30 to week 42 and delivered via blended.
Delivered as face to face or as a pre-recorded lecture followed by a flipped classroom review
Unscheduled Online ClassWeek: 30 - 42
One 1.00 hour unscheduled online class per week on weekdays during the day from week 30 to week 42 and delivered via online.
Tasks to be completed on line using student management systems
WorkShopWeek: 30 - 42
One 2.00 hours workshop per week on weekdays during the day from week 30 to week 42 and delivered via blended.
Delivered as part of the flipped classroom
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
One assignment (700 words) | Assignment | Individual | No | 15 | SILO1, SILO2, SILO3, SILO4, SILO5 |
One 2-hour end of semester written examination (equivalent to 2000 words) | Central exam | Individual | No | 45 | SILO1, SILO2, SILO3, SILO4, SILO5 |
Four x 20-minute online quizzes: (each equivalent to 450 words; 1800 words in total)10% each, one quiz every 3 weeks. | Quizzes | Individual | No | 40 | SILO1, SILO2, SILO3, SILO4, SILO5 |