sta1stm statistical methods
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.
FacultyFaculty of Science, Tech & Engineering
Credit points15
Subject Co-ordinatorChristopher Lenard
Available to Study Abroad StudentsYes
Subject year levelYear Level 1 - UG
Exchange StudentsYes
Subject particulars
Subject rules
PrerequisitesN/A
Co-requisitesN/A
Incompatible subjects STA1LS, STA2LS, STA1SS, STA2SS,STA1CTS, STA1PSY, ECO1ISB
Equivalent subjectsN/A
Special conditionsN/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. |
Subject options
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Bendigo, 2014, Semester 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorChristopher 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 |