STATISTICAL SCIENCE

STA1SS

Not currently offered

Credit points: 15

Subject outline

This subject provides an introduction to applied and theoretical statistics. (The applied component of this subject is identical to the content covered in STA1LS.) It introduces students to the basic applied statistical methods used in the biological sciences, medical sciences, agricultural sciences, nutrition, and health sciences and also provides an introduction to the mathematical theory used in the area of statistics. 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

Prerequisites Year-12 mathematics

Co-requisitesN/A

Incompatible subjectsSTA1STM OR STA1IDA OR STA1PSY OR ECO1ISB OR STA1CTS OR STA1LS

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Readings

Manual for SPSS and R with Examples from the Life Sciences

Resource TypePrescribed

Resource RequirementN/A

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

Introductory statistics a problem solving approach

Resource TypeRecommended

Resource RequirementN/A

AuthorKokoska, S.

Year2015

Edition/Volume2nd ed

PublisherFREEMAN

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

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 statistical software package SPSS.
05. Apply basic mathematical theoretical techniques in the area of statistics.

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