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.

School: Engineering and Mathematical Sciences (Pre 2022)

Credit points: 15

Subject Co-ordinator: David Farchione

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 1 - UG

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: Year-12 mathematics

Co-requisites: N/A

Incompatible subjects: STA1STM OR STA1IDA OR ECO1ISB OR STA1PSY OR STA1LS OR STA1CTS

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Learning resources

Introductory statistics a problem solving approach

Resource Type: Book

Resource Requirement: Recommended

Author: Kokoska, S.

Year: 2015

Edition/Volume: 2nd ed

Publisher: FREEMAN

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Manual for SPSS and R with Examples from the Life Sciences

Resource Type: Book

Resource Requirement: Prescribed

Author: Farchione, D.

Year: 2018

Edition/Volume: N/A

Publisher: La Trobe

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving
INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry
PERSONAL AND PROFESSIONAL - Ethical and Social Responsibility

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.
Subject not currently offered - Subject options not available.