Each chapter features situations based on the authors' experience and looks at statistical methods for analysing data and, where appropriate, discusses the assumptions of these methods.

Key features:

• Provides a practical hands-on manual for workplace applications.
• Introduces a broad range of statistical methods from confidence intervals to trend analysis.
• Combines realistic case studies and examples with a practical approach to statistical analysis.
• Features examples drawn from a wide range of industries including chemicals, petrochemicals, nuclear power, food and pharmaceuticals.
• Includes a supporting website, providing software to aid tutorials.

Scientists and technologists of all levels who are required to design, conduct and analyse experiments will find this book to be essential reading.