STATISTICS FOR LIFE SCIENCES

STA1LS

2016

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.

SchoolSchool Engineering&Mathematical Sciences

Credit points15

Subject Co-ordinatorDavid Farchione

Available to Study Abroad StudentsYes

Subject year levelYear Level 1 - UG

Exchange StudentsYes

Subject particulars

Subject rules

PrerequisitesN/A

Co-requisitesN/A

Incompatible subjects STA1SS; STA1PSY; STA1STM; STA1CTS; ECO1ISB

Equivalent subjectsN/A

Special conditionsN/A

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsFSTE First Year Survival Guide (second edition)RecommendedFaculty of Science, Technology and EngineeringLA TROBE UNIVERSITY 2012
ReadingsIntroductory statistics a problem solving approachRecommendedKokoska, S 2011FREEMAN

Graduate capabilities & intended learning outcomes

01. Convert data into information by using appropriate numerical and graphical summaries.

Activities:
Assignments 1 and 2; Final Exam Each assignment consists of 2 short answer questions. The first involves using the SPSS statistical computer package (camputer lab type question) and the second involves applied statistical problem solving (practice class type question) with written conclusions. All written conclusions are allocated marks. The final exam will contain questions similar to those that are in the computer labs, practice classes, assignments and online quizzes.

02. Calculate probabilities and other quantities from discrete and continuous probability distributions and by applying the basic rules of probability.

Activities:
Assignments 3-5; Final Exam Each assignment consists of 2 short answer questions. The first involves using the SPSS statistical computer package (computer lab type question) and the second involves applied statistical problem solving (practice class type question) with written conclusions. All written conclusions are allocated marks. The final exam will contain questions similar to those that are in the computer labs, practice classes, assignments and online quizzes.

03. Identify and apply appropriate statistical inference methods for decision making.

Activities:
Assignments 6 -10; Final Exam Each assignment consists of 2 short answer questions. The first involves using the SPSS statistical computer package (computer lab type question) and the second involves applied statistical problem solving (practice class type question) with written conclusions. All written conclusions are allocated marks. The final exam will contain questions similar to those that are in the computer labs, practice classes, assignments and online quizzes.

04. Compute, display and interpret numerical and graphical summaries, probabilities and various statistical inference procedures using the SPSS statistical software package.

Activities:
Assignments 1-10; Final Exam Each assignment consists of 2 short answer questions. The first involves using the SPSS statistical computer package (computer lab type question) and the second involves applied statistical problem solving (practice class type question). The final exam will contain questions similar to those that are in the computer labs, practice classes, assignments and online quizzes.

05. Apply basic numeracy skills for calculating various quantities in statistics.

Activities:
Online Quizzes 1-10; Final Exam Online quizzes are based on the material covered in the lectures. The final exam will contain questions similar to those that are in the computer labs, practice classes, assignments and online quizzes.

Subject options

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Start date between: and    Key dates

Melbourne, 2016, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorDavid Farchione

Class requirements

Computer Laboratory Week: 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.
"Or Delivery Method: On-Line"

Lecture Week: 31 - 43
Three 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
"Or Delivery Method: On-Line"

Practical Week: 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.
"Or Type: Directed Learning Activity Or Delivery Method: On-Line"

Assessments

Assessment elementComments% ILO*
one 3-hour examination60 01, 02, 03, 04, 05
five assignments (1200 word equivalent)30 01, 02, 03, 04
ten online quizzes10 05

Singapore, 2016, Week 20-24, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorDavid Farchione

Class requirements

Lecture Week: 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."

Practical Week: 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 elementComments% ILO*
one 3-hour examination60 01, 02, 03, 04, 05
five assignments (1200 word equivalent)30 01, 02, 03, 04
ten online quizzes10 05

Singapore, 2016, Week 20-24, Night

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorDavid Farchione

Class requirements

Lecture Week: 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."

Practical Week: 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 elementComments% ILO*
one 3-hour examination60 01, 02, 03, 04, 05
five assignments (1200 word equivalent)30 01, 02, 03, 04
ten online quizzes10 05