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-ordinatorPenelope Smith

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

Readings

Common errors in statistics

Resource TypeRecommended

Resource RequirementN/A

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

Modern elementary statistics

Resource TypeRecommended

Resource RequirementN/A

AuthorFreund, J

Year2007

Edition/Volume1TH EDN

PublisherPRENTICE-HALL, NEW YORK USA

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 TypePrescribed

Resource RequirementN/A

AuthorBaldi, B & Moore, D

Year2009

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

Essential mathematics and statistics for science

Resource TypeRecommended

Resource RequirementN/A

AuthorCurrell, G & Dowman, A

Year2005

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

Practical statistics for environmental and biological scientists

Resource TypeRecommended

Resource RequirementN/A

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 basic practice of statistics

Resource TypeRecommended

Resource RequirementN/A

AuthorMoore, DS, Notz, WI & Fligner, MA

Year2015

Edition/Volume6TH EDN

PublisherW.H. FREEMAN, NEW YORK, USA

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

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

COMMUNICATION - Communicating and Influencing
COMMUNICATION - Digital Capability
DISCIPLINE KNOWLEDGE AND SKILLS
PERSONAL AND PROFESSIONAL - Adaptability and Self-Management

Intended Learning Outcomes

01. Describe concepts of experimental design and identify the effect of design on interpretation of results
02. Apply fundamental concepts of data, population and samples, measures of central tendency, variability and dispersion, probabilities and normal distribution
03. Select and perform appropriate basic statistical methods, such as confidence intervals, hypothesis tests, regression and ANOVA
04. Summarise data and present statistical findings appropriately using correct terminology
05. Interpret results of statistical analyses and report the conclusions in a clear and comprehensible manner

Subject options

Select to view your study options…

Start date between: and    Key dates

Epping (Melbourne Polytechnic), 2021, Semester 2, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorPenelope Smith

Class requirements

LectureWeek: 30 - 42
One 2.00 h 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 h 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 h 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 elementCommentsCategoryContributionHurdle% 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 results

N/AN/AN/ANo15 SILO1, SILO2, SILO3, SILO4, SILO5

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 software

N/AN/AN/ANo45 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.

N/AN/AN/ANo40 SILO1, SILO2, SILO3, SILO4, SILO5