Laboratory Statistical Quality Control Course
At a glance
- Duration
- 1 Week
- Format
- Classroom
- Cities
- Chicago, Langkawi, Cape town, New York, Kuala Lumpur, Rome and more
- Next session
- 18 – 22 October 2026, Chicago
- Average fee
- 5,800 €
Overview
Laboratory Statistical Quality Control for Testing Training Course is a one-week course for analysts, quality specialists, mineral testing teams, environmental testing teams, and technical managers who leave with a Laboratory Statistical QC Decision Pack. Participants connect sampling variation, descriptive statistics, method performance, control charts, detection capability, uncertainty, and proficiency evidence. The course resolves inconsistent result review by linking statistical signals to documented laboratory actions. Agile Leaders Training Center develops laboratory statistical quality-control practice.
Who Should Attend
Laboratory functions responsible for producing and reviewing mineral or environmental test results
Quality functions responsible for statistical controls, exceptions, and corrective actions
Method functions responsible for precision, bias, recovery, and detection capability
Technical management functions responsible for data quality and laboratory performance
Proficiency functions responsible for interlaboratory comparison and result interpretation
The course assumes participants work with numerical laboratory results and routine quality-control samples; it leaves out instrument operation, accreditation preparation, advanced statistical programming, and method-specific chemistry.
Departments and Industries
The course supports departments and industries that depend on defensible analytical measurements.
Mineral analysis, mining services, metallurgy, and geochemical laboratories
Environmental, water, soil, air, and waste testing functions
Industrial quality, research, process, and contract laboratories
Technical assurance, laboratory management, and data-review functions
Learning Objectives
By the end of this course, participants will be able to:
Analyze sampling, measurement, and method variation in laboratory data.
Build descriptive summaries and control charts with action rules.
Evaluate precision, bias, recovery, and detection capability evidence.
Diagnose outliers, trends, shifts, and assignable causes.
Compare uncertainty and interlaboratory performance evidence.
Prioritize actions in a laboratory statistical QC decision pack.
Course Agenda
Day 1: Structure Laboratory Variation
Sampling and Measurement Process Map
Random and Assignable Cause Classification
Data Type, Scale, and Distribution Checklist
Mean, Spread, and Robust Summary Calculator
Laboratory Data Quality Screening Log
Day 2: Monitor Statistical Control
Check Standard and Control Sample Design
Shewhart Center Line and Control Limit Worksheet
Range and Standard Deviation Chart Selection
Trend, Shift, and Action Signal Rules
Out-of-Control Investigation Record
Day 3: Evaluate Method Performance
Repeatability and Intermediate Precision Study
Bias, Recovery, and Reference Value Comparison
Detection and Quantification Capability Review
Outlier Assessment and Retention Decision
Method Performance Evidence Matrix
Day 4: Compare Laboratory Evidence
Measurement Uncertainty Evidence Map
Interlaboratory Comparison Data Preparation
ISO 13528 Performance Score Interpretation
Proficiency Result and Root-Cause Review
Statistical Finding and Corrective Action Register
Day 5: Practice Laboratory QC Decisions
Exercise: Screen Mineral and Environmental Data
Exercise: Build and Interpret Control Charts
Exercise: Review Precision, Bias, and Detection Evidence
Exercise: Diagnose Proficiency and Uncertainty Findings
Capstone: Laboratory Statistical QC Decision Pack
Practical Exercises
The course uses suggested activities based on mineral, water, soil, and industrial laboratory cases.
Suggested activity: summarize replicate and control-sample results and flag data-quality concerns.
Suggested activity: construct a control chart and document the response to an action signal.
Suggested activity: compare precision, bias, recovery, and detection evidence for a test method.
Suggested activity: interpret an interlaboratory result and prioritize a traceable corrective action.
FAQs
Who suits laboratory statistical quality control training, and what does it assume?
Analytical, quality, method, proficiency, and technical management functions suit the training. It assumes regular work with numerical results and routine quality-control samples.
How does laboratory statistical quality control differ from general quality management training?
Laboratory statistical quality control focuses on measurement variation, method evidence, control charts, and result decisions, while general quality management addresses wider processes, systems, audits, and organizational controls.
What do control charts show in laboratory statistical quality control?
Control charts show whether a measurement process remains stable around a center line and whether points, trends, or shifts signal a cause that requires investigation.
How are precision and bias used in laboratory data quality?
Precision describes variation among repeated results, while bias compares results with a reference or expected value; both provide evidence for judging method performance and result fitness.
How does proficiency testing support laboratory statistical quality control?
Proficiency testing compares laboratory results with assigned or peer evidence, helping teams evaluate performance, investigate unusual scores, and confirm whether corrective action is needed.
Conclusion
Participants take back a Laboratory Statistical QC Decision Pack containing variation summaries, control charts, method-performance evidence, outlier decisions, uncertainty records, proficiency findings, and corrective actions. It changes isolated statistical calculations into a traceable laboratory review process. The pack supports consistent signals, documented investigations, and defensible decisions for mineral and environmental test data.
credits: 5 credit per day
Course Mode: full-time
Provider: Agile Leaders Training Center
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Events for this Course
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Chicago 18 – 22 October 2026
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Langkawi 25 – 29 October 2026
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Cape town 1 – 5 November 2026
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New York 9 – 13 November 2026
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Kuala Lumpur 16 – 20 November 2026
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Rome 23 – 27 November 2026
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Abu Dhabi 23 – 27 November 2026
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Madrid 30 November – 4 December 2026
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Kuwait 6 – 10 December 2026
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Milan 14 – 18 December 2026
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Athens 21 – 25 December 2026
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Cairo 28 December 2026 – 1 January 2027
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Amsterdam 28 December 2026 – 1 January 2027
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Manama 3 – 7 January 2027
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Amsterdam 11 – 15 January 2027
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Porto 11 – 15 January 2027
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Seoul 18 – 22 January 2027
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Johannesburg 24 – 28 January 2027
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Cairo 25 – 29 January 2027
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London 1 – 5 February 2027
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Munich 1 – 5 February 2027
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Prague 8 – 12 February 2027
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Abu Dhabi 8 – 12 February 2027
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Amman 14 – 18 February 2027
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Dubai 22 – 26 February 2027
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Barcelona 22 – 26 February 2027
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Lisbon 22 – 26 February 2027
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Phuket 28 February – 4 March 2027
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Kuala Lumpur 8 – 12 March 2027
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Paris 8 – 12 March 2027
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Zoom 15 – 19 March 2027
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Baku 22 – 26 March 2027
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Tokyo 29 March – 2 April 2027
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Bali 4 – 8 April 2027
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Casablanca 5 – 9 April 2027
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Singapore 12 – 16 April 2027
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Muscat 18 – 22 April 2027
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Milan 26 – 30 April 2027
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London 3 – 7 May 2027
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Barcelona 3 – 7 May 2027
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Toronto 9 – 13 May 2027
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Abu Dhabi 10 – 14 May 2027
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Montreux 17 – 21 May 2027
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Bangkok 23 – 27 May 2027
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Tashkent 30 May – 3 June 2027
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Geneva 6 – 10 June 2027
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Dubai 7 – 11 June 2027
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Madrid 14 – 18 June 2027
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Berlin 14 – 18 June 2027
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Accra 20 – 24 June 2027
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Amsterdam 28 June – 2 July 2027
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London 5 – 9 July 2027
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Istanbul 5 – 9 July 2027
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Vienna 12 – 16 July 2027
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Tbilisi 19 – 23 July 2027
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Rome 26 – 30 July 2027
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Nairobi 1 – 5 August 2027
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Dubai 9 – 13 August 2027
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Paris 9 – 13 August 2027
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San Diego 16 – 20 August 2027
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Zanzibar 22 – 26 August 2027
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Istanbul 30 August – 3 September 2027
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Marbella 5 – 9 September 2027
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London 6 – 10 September 2027
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Manama 12 – 16 September 2027
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Sharm El-Sheikh 20 – 24 September 2027
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Vienna 20 – 24 September 2027
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Jakarta 27 September – 1 October 2027
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Frankfurt 27 September – 1 October 2027
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Trabzon 3 – 7 October 2027
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Abu Dhabi 4 – 8 October 2027
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Dubai 11 – 15 October 2027
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Nice 11 – 15 October 2027
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Doha 17 – 21 October 2027
| Image | Location | Dates | Duration | Mode | Price | Actions |
|---|---|---|---|---|---|---|
|
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Zanzibar |
Week 33, 2027 22 – 26 August 2027 |
1 Week | Onsite | €5,500 | |
|
|
Istanbul |
Week 35, 2027 30 August – 3 September 2027 |
1 Week | Onsite | €4,500 | |
|
|
Marbella |
Week 35, 2027 5 – 9 September 2027 |
1 Week | Onsite | €5,700 | |
|
|
London |
Week 36, 2027 6 – 10 September 2027 |
1 Week | Onsite | €5,700 | |
|
|
Manama |
Week 36, 2027 12 – 16 September 2027 |
1 Week | Onsite | €4,700 | |
|
|
Sharm El-Sheikh |
Week 38, 2027 20 – 24 September 2027 |
1 Week | Onsite | €4,100 | |
|
|
Vienna |
Week 38, 2027 20 – 24 September 2027 |
1 Week | Onsite | €5,700 | |
|
|
Jakarta |
Week 39, 2027 27 September – 1 October 2027 |
1 Week | Onsite | €5,700 | |
|
|
Frankfurt |
Week 39, 2027 27 September – 1 October 2027 |
1 Week | Onsite | €5,700 | |
|
|
Trabzon |
Week 39, 2027 3 – 7 October 2027 |
1 Week | Onsite | €6,800 | |
|
|
Abu Dhabi |
Week 40, 2027 4 – 8 October 2027 |
1 Week | Onsite | €4,700 | |
|
|
Dubai |
Week 41, 2027 11 – 15 October 2027 |
1 Week | Onsite | €4,500 | |
|
|
Nice |
Week 41, 2027 11 – 15 October 2027 |
1 Week | Onsite | €5,700 | |
|
|
Doha |
Week 41, 2027 17 – 21 October 2027 |
1 Week | Onsite | €5,500 |
Frequently asked questions
What does this course cover?
OverviewLaboratory Statistical Quality Control for Testing Training Course is a one-week course for analysts, quality specialists, mineral testing teams, environmental testing teams, and technical managers who leave with a Laboratory Statistical QC Decision Pack. Participants connect sampling variation, descriptive statistics, method performance, control…
Are training dates available?
Yes. Available dates and destinations are listed in the course dates section on this page.
How can I register?
Choose an available date on this page and complete the registration form, or send a programme enquiry.
Can I download the course brochure?
Yes. Use the brochure download link provided on this page.
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