STATISTICS FOR LIFE SCIENCES
STA1LS
2017
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. This subject is a possible pre-requisite for the second-year subjects in statistics.
School: School Engineering&Mathematical Sciences
Credit points: 15
Subject Co-ordinator: David Farchione
Available to Study Abroad Students: Yes
Subject year level: Year Level 1 - UG
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: N/A
Co-requisites: N/A
Incompatible subjects: STA1SS; STA1PSY; STA1IDA; STA1STM; STA1CTS; ECO1ISB
Equivalent subjects: N/A
Special conditions: N/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | FSTE First Year Survival Guide (second edition) | Recommended | Faculty of Science, Technology and Engineering | LA TROBE UNIVERSITY 2012 |
| Readings | Introductory statistics a problem solving approach | Recommended | Kokoska, S 2011 | FREEMAN |
Graduate capabilities & intended learning outcomes
01. Convert data into information by using appropriate numerical and graphical summaries.
- Activities:
- Lectures: In the lectures we introduce the basic statistical tools used in statistics and apply these tools to practical examples in the Life Sciences discipline. Practice Classes: Students work through practical examples by applying the concepts and techniques learnt in the lectures. Computer Labs: Students use the SPSS statistical computer package to work through practical examples.
02. Calculate probabilities and other quantities from discrete and continuous probability distributions and by applying the basic rules of probability.
- Activities:
- Lectures: In the lectures we introduce the basic statistical tools used in statistics and apply these tools to practical examples in the Life Sciences discipline. Practice Classes: Students work through practical examples by applying the concepts and techniques learnt in the lectures. Computer Labs: Students use the SPSS statistical computer package to work through practical examples.
03. Identify and apply appropriate statistical inference methods for decision making.
- Activities:
- Lectures: In the lectures we introduce the basic statistical tools used in statistics and apply these tools to practical examples in the Life Sciences discipline. Practice Classes: Students work through practical examples by applying the concepts and techniques learnt in the lectures. Computer Labs: Students use the SPSS statistical computer package to work through practical examples.
04. Compute, display and interpret numerical and graphical summaries, probabilities and various statistical inference procedures using the SPSS statistical software package.
- Activities:
- Lectures: In the lectures we introduce the basic statistical tools used in statistics and apply these tools to practical examples in the Life Sciences discipline. Computer Labs: Students use the SPSS statistical computer package to work through practical examples.
05. Apply basic numeracy skills for calculating various quantities in statistics.
- Activities:
- Lectures: In the lectures we introduce the basic statistical tools used in statistics and apply these tools to practical examples in the Life Sciences discipline. Practice Classes: Students work through practical examples by applying the concepts and techniques learnt in the lectures.
Melbourne, 2017, Semester 2, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: David Farchione
Class requirements
Computer LaboratoryWeek: 31 - 43
One 1.0 hours 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 2.0 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 1.0 hours practical per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| One 3-hour examination | 60 | 01, 02, 03, 04, 05 | |
| Five assignments (equivalent to 1200 words total) | 30 | 01, 02, 03, 04 | |
| Ten online quizzes (equivalent to 300 words total) | 10 | 05 |
Singapore, 2017, Term L3, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: David Farchione
Class requirements
LectureWeek: 20 - 24
One 36.0 hours lecture per study period on weekdays during the day from week 20 to week 24 and delivered via face-to-face.
"36-hours of Blended Lectures or Interactive Online Activities per teaching period delivered via face-to-face or online."
PracticalWeek: 20 - 24
One 2.0 hours practical per study period on weekdays during the day from week 20 to week 24 and delivered via face-to-face.
"20-hours of Computer-Based Practical Class per teaching period delivered face-to-face or as directed online learning."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| One 3-hour examination | 60 | 01, 02, 03, 04, 05 | |
| Five assignments (equivalent to 1200 words total) | 30 | 01, 02, 03, 04 | |
| Ten online quizzes (equivalent to 300 words total) | 10 | 05 |
Singapore, 2017, Term L3, Night
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: David Farchione
Class requirements
LectureWeek: 20 - 24
One 36.0 hours lecture per study period on weekdays at night from week 20 to week 24 and delivered via face-to-face.
"36-hours of Blended Lectures or Interactive Online Activities per teaching period delivered via face-to-face or online."
PracticalWeek: 20 - 24
One 2.0 hours practical per study period on weekdays at night from week 20 to week 24 and delivered via face-to-face.
"20-hours of Computer-Based Practical Class per teaching period delivered face-to-face or as directed online learning."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| One 3-hour examination | 60 | 01, 02, 03, 04, 05 | |
| Five assignments (equivalent to 1200 words total) | 30 | 01, 02, 03, 04 | |
| Ten online quizzes (equivalent to 300 words total) | 10 | 05 |