Course Title: Apply Statistical Methods for Quality Control and Reliability

Part B: Course Detail

Teaching Period: Term1 2012

Course Code: MATH7041

Course Title: Apply Statistical Methods for Quality Control and Reliability

School: 130T Vocational Engineering

Campus: City Campus

Program: C6069 - Advanced Diploma of Engineering Technology

Course Contact: Program Manager

Course Contact Phone: +61 3 9925 4468

Course Contact Email:

Name and Contact Details of All Other Relevant Staff

Dr. Daniela Achim

+61 3 99254523

Nominal Hours: 40

Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.

Pre-requisites and Co-requisites


Course Description

This unit of competency sets out the knowledge and skills required to apply statistical concepts and methods that are common to all engineering fields for the purpose of quality control. This includes averages, probability, frequency distributions, standard deviation, and quality control applications.

National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

VBP229 Apply Statistical Methods for Quality Control and Reliability


Identify statistical requirements

Performance Criteria:

1.1 OH&S and environmental requirements for a given work area are obtained and understood.
1.2 The statistical task is determined through requests, design briefs or equivalent and clarified with appropriate personnel.
1.3 Where appropriate expert advice is sought with respect to the statistical task and according to
enterprise procedures.
1.4 Safety hazards which have not previously been identified are documented and risk control measures devised and implemented in consultation with appropriate personnel.
1.5 Appropriate personnel are consulted to ensure the work is co-ordinated effectively with others
involved at the work site.
1.6 Resources and equipment needed for the task are obtained in accordance with enterprise procedures and checked for correct operation and safety.


Perform statistical computations

Performance Criteria:

4.1 OH&S and environmental requirements for a given work area are obtained and understood.
4.2 Statistical task is performed and results recorded.
4.3 Decisions for dealing with unexpected situations are made from discussions with appropriate personnel, job specifications and enterprise procedures.
4.4 Methods for dealing with unexpected situations are selected on the basis of safety and specified work outcomes.


Select appropriate statistical method.

Performance Criteria:

2.1 OH&S requirements for carrying out the work are followed.
2.2 Industry codes, regulations and technical documentation relevant to the statistical task are interpreted and understood.
2.3 Where appropriate, tables and graphs are used to obtain computational data.
2.4 The appropriate assumptions underlying the statistical task are made and recorded.
2.5 Resources required are identified, obtained and checked as fit for the purpose.
2.6 The most appropriate computational method is selected and can be justified.


Use of statistical calculators and/or computers for statistical computations

Performance Criteria:

3.1 OH&S requirements for carrying out the work are followed.
3.2 Statistical operations are performed.
3.3 All calculator/computer applications software functions can be used in computational sequences.
3.4 Statistical features of a scientific calculator are explained and exploited to efficiently perform computations.


Verify and interpret results

Performance Criteria:

5.1 OH&S requirements for completing the work are followed.
5.2 Results are verified and discussed with appropriate personnel.
5.3 Where appropriate results are graphed or charted.

Learning Outcomes

Identify statistical requirements

Perform statistical computations

Select appropriate statistical method.

Use of statistical calculators and/or computers for statistical computations
Verify and interpret results

Details of Learning Activities

Students will participate in a variety of teaching methods including: lectures, tutorials, class discussion, group/individual work on projects, and interaction with
individuals and groups as required.

Teaching Schedule

 Topics                                                                                       Resources



 Introduction, Definitions

Identification of engineering situations that require solution using probability considerations

2 Graphical descriptive methods 6 


Permuatations, Combinations


 Probability distributions

Frequency distribution, Normal, Rectangular, Binomial & Poisson

5 Adminstration of statistical skills 3 

 Computerized development

Quality manuals, Procedures, Software packages


 Computer sytem

Cost of non-conformance, Input of supplier history


 Computer control

Treaceability, Incoming materials receipts, material storage

9 Revision  Assessment 1_Report due (30%)
10 Quiz  Assessment 2_Quiz (70%)
Please note: while your teacher will cover all the materials in the schedule, the weekly teaching and assessment order is subject to change depending on class needs and availability of resources.Students are required to self study the learning materials for the hours not scheduled in teaching schedule.


Learning Resources

Prescribed Texts

1. A Selvanathan, G Keller & B Warrack, Australian business statistics


2. Hines & Montgomery, Probability and Statistics in Engineering Management Science

3. J Reason & A Hobbs, Managing Maintenance Error

4. J Ryall & J Kruitoff, The Quality Systems Handbook

5. J S Oakland, Total Quality Management, The Tools and the Improvement cycle

6. Dawling, Carew, Hadgraft Engineering your Future

Other Resources

Class notes (weeekly, per topic)

Overview of Assessment

Assessment Tasks

Assessment one - report = 30%

Assessment two - classroom quiz (written) = 70%

Assessment Matrix



1Assessment 1 - Report30%All
2Assessment 2 - Quiz70%All

Other Information

Study and learning Support:

Study and Learning Centre (SLC) provides free learning and academic development advice to you.
Services offered by SLC to support your numeracy and literacy skills are:

assignment writing, thesis writing and study skills advice
maths and science developmental support and advice
English language development

Please Refer to find more information about Study and learning Support

Disability Liaison Unit:

If you are suffering from long-term medical condition or disability, you should contact Disability Liaison Unit to seek advice and
support to complete your studies.

Please Refer to find more information about services offered by Disability Liaison Unit

Late submission:

If you require an Extension of Submittable Work (assignments, reports or project work etc.) for 7 calendar days or less (from the original due date) and have valid reasons, you must complete and
lodge an Application for Extension of Submittable Work (7 Calendar Days or less) form and lodge it with the Senior Educator/ Program Manager.
The application must be lodged no later than one working day before the official due date. You will be notified within
no more than 2 working days of the date of lodgment as to whether the extension has been granted.

If you seek an Extension of Submittable Work for more than 7 calendar days (from the original due date) must lodge an Application for Special
Consideration form under the provisions of the Special Consideration Policy, preferably prior to, but no later than 2 working days
after the official due date.

Submittable Work (assignments, reports or project work etc.) submitted late without approval of an extension will not be accepted or marked.

Special consideration:

If student cannot submit assignment or attend assessment as scheduled, please consider to apply for Special Consideration. All RMIT policies apply and they can be viewed on the RMIT website.

Please Refer;ID=riderwtscifm to find more information about special consideration


Plagiarism is a form of cheating and it is very serious academic offence that may lead to expulsion from the University.

Please Refer: to find more information about plagiarism.

Other Information:

All email communications will be sent to your RMIT email address and you must regularly check your RMIT emails.

Course Overview: Access Course Overview