STATISTICS FOR LIFE SCIENCES

STA1LS

2021

Credit points: 15

Subject outline

This subject provides an introduction to applied statistics, and strengthens basic numeracy skills. It introduces students to the basic applied statistical methods used in the biological sciences, medical sciences, agricultural sciences, nutrition, and health sciences . The three main areas of study are descriptive statistics , probability, and statistical inference and the use of a statistical computing package is an integral part of this subject. The strengths and limitations of statistical models to enable informed thinking about sustainability are explored. This subject is a possible pre-requisite for the second-year subjects in statistics.

SchoolEngineering and Mathematical Sciences

Credit points15

Subject Co-ordinatorDavid Farchione

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 1 - UG

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules

PrerequisitesN/A

Co-requisitesN/A

Incompatible subjectsSTA1IDA OR STA1SS OR STA1STM OR STA1CTS OR STA1PSY OR ECO1ISB

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

Introductory statistics a problem solving approach

Resource TypeBook

Resource RequirementRecommended

AuthorKokoska, S.

Year2015

Edition/Volume2nd ed

PublisherFREEMAN

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Manual for SPSS and R with Examples from the Life Sciences

Resource TypeBook

Resource RequirementPrescribed

AuthorFarchione, D.

Year2018

Edition/VolumeN/A

PublisherLa Trobe

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

INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry

Intended Learning Outcomes

01. Convert data into information by using appropriate numerical and graphical summaries.
02. Calculate probabilities and other quantities from discrete and continuous probability distributions and by applying the basic rules of probability.
03. Identify and apply appropriate statistical inference methods for decision making.
04. Compute, display and interpret numerical and graphical summaries, probabilities and various statistical inference procedures using the SPSS statistical software package.
05. Apply basic numeracy skills for calculating various quantities in statistics.

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorDavid Farchione

Class requirements

Computer LaboratoryWeek: 30 - 42
One 1.00 hour computer laboratory per week on weekdays during the day from week 30 to week 42 and delivered via face-to-face.

LectureWeek: 30 - 42
One 2.00 hours lecture per week on weekdays during the day from week 30 to week 42 and delivered via face-to-face.

PracticalWeek: 30 - 42
One 1.00 hour practical per week on weekdays during the day from week 30 to week 42 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

One 3-hour examination

N/AN/AN/ANo60 SILO1, SILO2, SILO3, SILO4, SILO5

Five assignments (equivalent to 1200 words total)Written solutions to problems

N/AN/AN/ANo30 SILO1, SILO2, SILO3, SILO4

Ten online quizzes (equivalent to 300 words total)Short multiple choice quizzes (formative) focusing on numeracy

N/AN/AN/ANo10 SILO5