Short Title:Statistics & Experimental Design
Full Title:Statistics & Experimental Design
Module Code:SEXD H4000
 
Credits: 5
NFQ Level:8
Field of Study:Mechanics and metal work
Module Delivered in no programmes
Reviewed By:DIARMUID RUSH
Module Author:JAMES REILLY
Module Description:To provide the student with statistical tools for designing experiments, evaluating processes and predicting responses. This module will also provide the student with quality tools for supporting quality functions within a manufacturing organisation.
Learning Outcomes
On successful completion of this module the learner will be able to:
LO1 Design experiments involving a number of factors.
LO2 Analyse experimental data with the help of statistical software
LO3 Communicate statistical findings in a variety of formats
LO4 Evaluate the statistical performance of a process
LO5 Explore the statistical relationship between variables
Pre-requisite learning
Co-requisite Modules
No Co-requisite modules listed
 

Module Content & Assessment

Content (The percentage workload breakdown is inidcative and subject to change) %
Single-factor Experiments
Principles of statistical experimental design: randomisation, replication, blocking. Hypotheses, models and assumptions. One-way Analysis of Variance, by hand and using software.
20.00%
Two-factor experiments
Main effects and interaction effects. Statistical design and analysis of two-factor experiments. Interpreting ANOVA tables and interaction plots.
20.00%
Multi-factor experiments
Fractional factorial experiments. Curvature. Aliasing. Effects plots. Crossed and nested designs. Fixed and random factors. Statistical power and sample size.
20.00%
Regression and Association
Prediction intervals and confidence intervals in regression, with application in reliability or elsewhere.Hypotheses testing in regression. Curvilinear and multiple regression. Selection of variables. Categorical data analysis: contingency tables.
20.00%
Process Capability and SPC
Process capability analysis: statistics for assessing centrality, normality, stability, capability and performance. Process control: construction of SPC charts for variables and attributes. Corrective, preventive and remedial action.
20.00%
Assessment Breakdown%
Course Work30.00%
End of Module Formal Examination70.00%
Course Work
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Practical/Skills Evaluation Students will identify, create, execute, analyse and present a number of experimental designs. 1,2,3 20.00 Ongoing
Oral Examination/Interview Students will give an Oral Presentation of their project work from throughout the semester and answer questions. 3 10.00 Week 11
End of Module Formal Examination
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Formal Exam End-of-Semester Final Examination 1,2,3,4,5 70.00 End-of-Semester
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

IT Tallaght reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Class Based Instruction 3.00 Every Week 3.00
Lab Laboratory and project work 1.00 Every Week 1.00
Independent Learning Time Independent Learning 4.00 Every Week 4.00
Total Weekly Learner Workload 8.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Class based instruction 3.00 Every Week 3.00
Lab Laboratory and project work 1.00 Every Week 1.00
Independent Learning Time Independent Learning 4.00 Every Week 4.00
Total Weekly Learner Workload 8.00
Total Weekly Contact Hours 4.00
 

Module Resources

Required Book Resources
  • James Reilly 2017, Applied Statistics, www.statisticalsolutions.ie
Recommended Book Resources
  • Douglas C. Montgomery 2012, Statistical Quality Control, 7th Ed Ed., John Wiley & Sons [ISBN: 9781118322574]
  • Richard E. DeVor, Tsong-how Chang, John W. Sutherland 2007, Statistical quality design and control, Pearson/Prentice Hall Upper Saddle River, N.J. [ISBN: 0130413445]
  • Kenneth Koehler 2012, Snedecor and Cochran's Statistical Methods, 9th Ed Ed., Blackwell [ISBN: 9780813808642]
This module does not have any article/paper resources
This module does not have any other resources