STATISTICS FOR LIFE SCIENCES

STA1LS

2020

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.

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: N/A

Co-requisites: N/A

Incompatible subjects: STA1PSY OR ECO1ISB OR STA1SS OR STA1CTS OR STA1STM OR STA1IDA

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 SPSS statistical software package.
05. Apply basic numeracy skills for calculating various quantities in statistics.

Albury-Wodonga, 2020, Semester 2, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Subject Instance Co-ordinator: David Farchione

Class requirements

Computer LaboratoryWeek: 31 - 43
One 1.00 hour computer laboratory per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

LectureWeek: 31 - 43
One 2.00 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

PracticalWeek: 31 - 43
One 1.00 hour practical per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle%ILO*

One 3-hour examination

N/AN/AN/ANo60SILO1, SILO2, SILO3, SILO4, SILO5

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

N/AN/AN/ANo30SILO1, SILO2, SILO3, SILO4

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

N/AN/AN/ANo10SILO5

Melbourne (Bundoora), 2020, Semester 2, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Subject Instance Co-ordinator: David Farchione

Class requirements

Computer LaboratoryWeek: 31 - 43
One 1.00 hour computer laboratory per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

LectureWeek: 31 - 43
One 2.00 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

PracticalWeek: 31 - 43
One 1.00 hour practical per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle%ILO*

One 3-hour examination

N/AN/AN/ANo60SILO1, SILO2, SILO3, SILO4, SILO5

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

N/AN/AN/ANo30SILO1, SILO2, SILO3, SILO4

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

N/AN/AN/ANo10SILO5

Singapore (PSB), 2020, Term 2, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Subject Instance Co-ordinator: Yeliz Boglev

Class requirements

Computer LaboratoryWeek: 21 - 31
Twelve 1.00 hour computer laboratory per study period on weekdays during the day from week 21 to week 31 and delivered via face-to-face.

LectureWeek: 21 - 31
Twenty four 1.00 hour lecture per study period on weekdays during the day from week 21 to week 31 and delivered via face-to-face.

PracticalWeek: 21 - 31
Twelve 1.00 hour practical per study period on weekdays during the day from week 21 to week 31 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle%ILO*

One 3-hour examination

N/AN/AN/ANo60SILO1, SILO2, SILO3, SILO4, SILO5

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

N/AN/AN/ANo30SILO1, SILO2, SILO3, SILO4

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

N/AN/AN/ANo10SILO5