STATISTICAL METHODS
STA1STM
2014
Credit points: 15
Subject outline
In this subject you will be introduced to statistical methods which are frequently used in science, psychology, health science and the social sciences. Topics include descriptive treatment of sample data, elementary probability and distributions, estimation and hypothesis testing of means and proportions. Other topics may include sample survey techniques, introduction to regression and chi-squared distribution. The statistical package SPSS will also be introduced.
Faculty: Faculty of Science, Tech & Engineering
Credit points: 15
Subject Co-ordinator: Christopher Lenard
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: STA1LS, STA2LS, STA1SS, STA2SS,STA1CTS, STA1PSY, ECO1ISB
Equivalent subjects: N/A
Special conditions: N/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | The basic practice of statistics & CDR | Prescribed | Moore, DS, Notz, WI and Fligner, MA 2013 | 6TH EDN, W.H. FREEMAN, NEW YORK. |
Bendigo, 2014, Semester 2, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Christopher Lenard
Class requirements
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.
WorkShopWeek: 31 - 43
One 1.0 hours workshop per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % |
|---|---|---|
| one 3-hour examination | 70 | |
| two 45-minute tests (each 15%) | In order to pass the subject, a mark of at least 40% must be obtained on the examination, as well as an overall mark of at least 50%. | 30 |