Module Overview


To provide the student with techniques for the collection, interpretation and application of statistical data.

Module Code

STAT H2005

ECTS Credits


*Curricular information is subject to change

Working with Data

Histograms and frequency curves: various patterns and their causes, normal, skewed, truncated, bimodal.Time series plots: random variation, trend, shift, cyclical variation.Population and sample. Sampling techniques. Inference.Visual interpretation of Process Capability graphs and Process Control charts. Summary Statistics: mean, median and mode. Cross tabulations.Range, variance, standard deviation, coefficient of variation. Degrees of freedom.

Probability and Distributions

Definitions of probability. Calculating probabilities. Composite events.Applications in reliability. Concept of a probability distribution with reference to the binomial and Poisson. The normal distribution: use of tables.


The addition of variances. The central limit theorem. Point estimates and confidence interval estimates of population means. Student’s t distribution. Approximate confidence intervals for population proportions. Sample size for estimation.

Hypothesis Testing

The reasoning behind a hypothesis test. Hypothesis testing procedure. Tests of population means and proportions. Sampling Plans.

Regression and Correlation

Scatterplots. Correlation coefficient. Coefficient of determination. Regression equation. Errors. Standard deviation about regression. Prediction: interpolation and extrapolation. The method of least squares. Use of software and interpretation of software output.

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