This course is delivered by LGC and includes a high level of interaction and tutor support, including breakout sessions.
Please note: The classroom-based course is delivered over one day. The online course is delivered over two days as 4 x 2.5 hr modules starting at 09:30 and 13:30.
This course – delivered over one day in the classroom or two days online – 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.
Learning outcomes of this course
Delegates participating in this course will gain knowledge and confidence around calculating and interpreting statistics and gain access to experts in the field in order to get straight-forward answers to complex questions.
- Introduction to Statistics
- Significance Testing T-Tests and the F-Test
- Analysis of Variance (ANOVA)
- Linear Regression
- Control Charts
Who should attend?
Anyone seeking to develop their understanding of statistics for Analytical Scientists in a laboratory setting. This might include:
- Quality Managers
- Laboratory Managers
The fees shown in each of the individual programmes are subject to the following discounts for multiple bookings on the same course:
- Second delegate (5% discount)
- Third delegate (8% discount)
- Fourth and subsequent delegates (10% discount)
Training by LGC
This training is delivered by UKAS Training Academy’s training partner, LGC. LGC is an international leader in the laboratory services, measurement standards, reference materials and proficiency testing marketplaces.
The online course is delivered using the Webex Meetings platform which allows a high level of interaction and tutor support, including breakout sessions.
|06/12/2022 - 07/12/2022||Virtual Course||£580 exc VAT|
|08/02/2023 - 08/02/2023||LGC, Teddington||£605 exc VAT|
|26/04/2023 - 27/04/2023||Virtual course||£605 exc VAT|
|27/09/2023 - 27/09/2023||LGC, Teddington||£605 exc VAT|
|29/11/2023 - 30/11/2023||Virtual course||£605 exc VAT|