Module Overview

Statistics and Classical Analysis

This is an introductory module to Analytical Chemistry. The module covers the theory behind a number of classical wet analytical techniques along with the basics behind spectroscopic calculations and analytical statistics.
The aim of this module is to give students a solid grounding in classical analytical techniques, the calculations that accompany these techniques and the knowledge of the statistical calculations required to interpret results in the analytical laboratory. The module will draw on contextualised chemical and pharmaceutical calculations.

Module Code

CHEM 2016

ECTS Credits


*Curricular information is subject to change

Classical Techniques:

Le Chateliers Principle. Titrimetric methods. Volumetric Techniques. Primary Standards. Standardising acids and bases. Back titrations. Oxidation reduction and precipitation reactions. Complexometric titrations. Calculations associated with the above. Titration curves. Indicators and endpoint determination. Dissociation constants, Conjugate pairs and pH theory. pH calculation for weak and strong acids & bases. Buffer solutions and the Henderson Hasselbach Equation. Gravimetric Analysis.


Concentration units and unit conversion. Dilutions. Significant figures. Random and systematic errors. Population Statistics. Statistical Analysis- accuracy, precision, mean, standard deviation, %RSD, Regression analysis, t-tests, F-tests, Q-tests, degrees of freedom, confidence intervals, introduction to control charts, uncertainty of measurement. Probability. Calibration plots. Using Excel (or similar software) to plot graphs.

Laboratory Work:

Laboratory work concentrating on key analytical skills which complements the lecture material is sourced from the School of Chemical and Pharmaceutical Sciences Laboratory Manual.

The module is delivered through a series of lectures (20 hours), tutorials (4 hours), laboratory practical classes (15 hours) and self-study (61 hours).

Module Content & Assessment
Assessment Breakdown %
Other Assessment(s)100