Module Overview

Statistics & Experimental Design

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.

Module Code

SEXD H4000

ECTS Credits


*Curricular information is 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.

Two-factor experiments

Main effects and interaction effects. Statistical design and analysis of two-factor experiments. Interpreting ANOVA tables and interaction plots.

Multi-factor experiments

Fractional factorial experiments. Curvature. Aliasing. Effects plots. Crossed and nested designs. Fixed and random factors. Statistical power and sample size.

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.

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.

Module Content & Assessment
Assessment Breakdown %
Other Assessment(s)30
Formal Examination70