Module Details

Module Code: ZQUA C2102
Module Title: Quantitative Methods and Quality Control 2
Title: Quantitative Methods and Quality Control 2
Module Level:: 6
Credits:: 5
Module Coordinator: Paula Rankin
Module Author:: Rachael Carroll
Domains:  
Module Description: This module will develop the learner's ability to analyse and understand data through the
use of inferential statistics and to develop the students' understanding of the quality control techniques used in industry.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Apply inferential statistics to conduct a variety of hypothesis tests on population parameters and explore the relationship between variables.
LO2 Formulate, solve and interpret scientific problems using differential and integral calculus.
LO3 Use and interpret statistical process control techniques.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.
No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Additional Requisite Information
No Co Requisites listed
 
Indicative Content
Introduction to Hypothesis Testing
Introduction to inferential statistics. The Elements of a Test of Hypothesis. Formulating the null and alternative hypotheses. Setting Up the Rejection Region.
One sample problems for the population mean
Identifying and Estimating the Target Parameter. Confidence Interval for a Population Mean. Students t distribution. Test of Hypothesis about a Population Mean.
Measures and Tests of Association
Scatter diagrams. Pearson and Spearman correlation coefficients, correlation and causation. Independent and dependent variables. Simple Linear regression. The regression equation and prediction, the method of least squares.
Tests of association
Categorical Data and the Multinomial Experiment. Chi-squared test of association. Testing Categorical Probabilities: One-Way Table. Testing Categorical Probabilities: Two-Way (Contingency) Table
Tests for the population variance
Test of Hypothesis about a Population Variance. F test for equality of variances
Calculus
Review of basic calculus. Solve scientific problems using differential and integral calculus. Model scientific situations using elementary differential equations.
Sampling
Acceptance Sampling, Operating Characteristic (OC) curve. Acceptable Quality Level (AQL), Lot Tolerance Percent Defective (LTPD or RQL), producer’s risk and consumer’s risk. Average Outgoing Quality (AOQ) and Average Outgoing Quality Limit (AOQL).
Control Charts
Principles of Statistical Process Control (SPC). Control Charts for Variables: average and range charts, pre-control chart, cumulative sum control chart (CUSUM) and multi-vari charts. Control charts for Attributes: np, p, u and c charts. Interpretation and design of charts. Process Capability Analysis.
Reliability
Reliability calculations, failure rate, mean time to failure (MTTF), life-tests, design for reliability.
Module Content & Assessment
Assessment Breakdown%
Continuous Assessment70.00%
Practical30.00%

Assessments

Full Time

Continuous Assessment
Assessment Type Examination % of Total Mark 70
Timing n/a Learning Outcomes 1,2
Non-marked No
Assessment Description
Quantitative Methods and Quality Control examinations and assessments
No Project
Practical
Assessment Type Practical/Skills Evaluation % of Total Mark 30
Timing n/a Learning Outcomes 2,3
Non-marked No
Assessment Description
Computer practicals and assessments.
No End of Module Formal Examination
Reassessment Requirement
Exam Board
It is at the discretion of the Examination Board as to what the qualifying criteria are.

SETU Carlow Campus reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Workload Category Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Qualtitative Methods and Quality Control 12 Weeks per Stage 4.00 48
Practicals Contact Computer Practical 12 Weeks per Stage 1.00 12
Estimated Learner Hours Non Contact Independent Learning 15 Weeks per Stage 4.33 65
Total Weekly Contact Hours 5.00
 
Module Resources
Recommended Book Resources
  • Douglas C. Montgomery. (2019), Introduction to Statistical Quality Control, 8. Wiley, [ISBN: 9781119657118].
  • Eric Connally,Deborah Hughes-Hallett,Andrew M. Gleason. (2019), Functions Modeling Change, 6. John Wiley & Sons, p.544, [ISBN: 9781119498315].
  • Deborah Hughes-Hallett,Andrew M. Gleason,Patti Frazer Lock,Daniel E. Flath. (2018), Applied Calculus, 6. Wiley, [ISBN: 9781119399353].
  • Brigitte Baldi,David S. Moore. (2018), Practice of Statistics in the Life Sciences, 4. WH Freeman, p.340, [ISBN: 9781319187606].
  • Allyn J. Washington,Richard Evans. (2017), Basic Technical Mathematics with Calculus, 11. Pearson, p.1192, [ISBN: 9780134463131].
  • Dennis G. Zill,Aly El-Iraki. (2017), A First Course in Differential Equations with Modeling Applications, 11. Cengage Learning & Inc, [ISBN: 9781337556644].
  • James T. McClave,Terry T Sincich. (2017), Statistics, Global Edition, Pearson Higher Ed, p.896, [ISBN: 9781292161563].
  • Barrie G. Dale. (2016), Managing Quality, 6. John Wiley & Sons, p.352, [ISBN: 9781119130925].
  • John Murdoch,John Anthony Barnes. (1998), Statistical Tables for Students of Science, Engineering, Psychology, Business, Management, Finance, Palgrave Macmillan Limited, p.79, [ISBN: 0333558596].
This module does not have any article/paper resources
Other Resources
Discussion Note: