» Statistics for Analytical Scientists
Statistics for Analytical Scientists This course is run by LGC.
1 day course
The quality of analytical data is a vital aspect of the work of an analytical scientist. The application of statistics is central to the assessment of data quality and an understanding of statistics is essential to the interpretation of analytical results. The application of statistics is required for method validation and measurement uncertainty calculations, and is thus essential for meeting ISO/IEC 17025 accreditation requirements.
This computer-based course provides an introduction to the basic statistical tools that analytical scientists need for their work. The course starts from looking at data and then explains the most common statistical parameters and how to calculate them.
What are the benefits?
This course is designed to help delegates to understand some of the most important statistical concepts used by analytical scientists, calculate the most common statistics, apply significance testing and use linear regression in calibration.
The course will cover:
- Introduction to statistics
- Significance testing, t- and F tests
- Analysis of variance
- Control charts
- Linear regression
|This course will run on a demand basis only, when we have 5 delegates registering an interest.|
The fees shown in each of the individual programmes are subject to the following discounts for multiple bookings onto the same course:
– Second delegate (5% discount)
– Third delegate (8% discount)
– Fourth and subsequent delegates (10% discount)
Who should attend?
This course is aimed at analytical scientists who need to use statistics and require a better understanding of the fundamental concepts. It is suitable for analysts with limited or no experience of statistics.
“Extremely worthwhile, the course provided a thorough understanding of this area of statistics.”
“I feel more confident in using these techniques in my daily job.”