STATISTICAL SCIENCE
STA1SS
2016
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. 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: Year-12 mathematics.
Co-requisites: N/A
Incompatible subjects: STA1LS; STA1PSY; 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:
- Assignments 1 and 2; Final Exam Each assignment consists of 3 short answer questions. The first involves using the statistical computer package (computer lab type question), the second involves applied statistical problem solving (practice class type question) and the third involves theoretical 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 and assignments.
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 3 short answer questions. The first involves using the statistical computer package (computer lab type question), the second involves applied statistical problem solving (practice class type question) and the third involves theoretical 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 and assignments.
03. Identify and apply appropriate statistical inference methods for decision making.
- Activities:
- Assignments 6 -10; Final Exam Each assignment consists of 3 short answer questions. The first involves using the statistical computer package (computer lab type question), the second involves applied statistical problem solving (practice class type question) and the third involves theoretical 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 and assignments.
04. Compute, display and interpret numerical and graphical summaries, probabilities and various statistical inference procedures using the statistical software package SPSS.
- Activities:
- Assignments 1-10; Final Exam Each assignment consists of 3 short answer questions. The first involves using SPSS (computer lab type question), the second involves applied statistical problem solving (practice class type question) and the third involves theoretical statistical problem solving (practice class type question). The final exam will contain questions similar to those that are in the computer labs, practice classes and assignments.
05. Apply basic mathematical theoretical techniques in the area of statistics.
- Activities:
- Assignments 1-10; Final Exam Each assignment consists of 3 short answer questions. The first involves using the statistical computer package (computer lab type question), the second involves applied statistical problem solving (practice class type question) and the third involves theoretical statistical problem solving (practice class type question). The final exam will contain questions similar to those that are in the computer labs, practice classes and assignments.
Melbourne, 2016, Semester 2, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: David Farchione
Class requirements
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.
LectureWeek: 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.
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.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| one 3-hour examination | 60 | 01, 02, 03, 04, 05 | |
| five assignments (equivalent to 1800-words) | 40 | 01, 02, 03, 04, 05 |