Laboratory Statistical Quality Control Course

Name: Laboratory Statistical Quality Control for Testing Training Course
Availability: InStock

Apply control charts, method-performance statistics, uncertainty evidence, and proficiency results to laboratory quality decisions.

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 €

Home
Our Categories
Laboratory Statistical Quality Control for Testing Training Course

Download Brochure (PDF) Print PDF

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

Download Brochure (PDF) Print PDF

Showing 21-40 of 74 events

Location	Dates	Duration	Mode	Price
Munich	Week 05, 2027 1 – 5 February 2027	1 Week	Onsite	€5,700
Prague	Week 06, 2027 8 – 12 February 2027	1 Week	Onsite	€6,000
Abu Dhabi	Week 06, 2027 8 – 12 February 2027	1 Week	Onsite	€4,700
Amman	Week 06, 2027 14 – 18 February 2027	1 Week	Onsite	€4,100
Dubai	Week 08, 2027 22 – 26 February 2027	1 Week	Onsite	€4,500
Barcelona	Week 08, 2027 22 – 26 February 2027	1 Week	Onsite	€5,700
Lisbon	Week 08, 2027 22 – 26 February 2027	1 Week	Onsite	€5,700
Phuket	Week 08, 2027 28 February – 4 March 2027	1 Week	Onsite	€6,000
Kuala Lumpur	Week 10, 2027 8 – 12 March 2027	1 Week	Onsite	€5,200
Paris	Week 10, 2027 8 – 12 March 2027	1 Week	Onsite	€5,700
Zoom	Week 11, 2027 15 – 19 March 2027	1 Week	Online	€1,500
Baku	Week 12, 2027 22 – 26 March 2027	1 Week	Onsite	€5,000
Tokyo	Week 13, 2027 29 March – 2 April 2027	1 Week	Onsite	€10,000
Bali	Week 13, 2027 4 – 8 April 2027	1 Week	Onsite	€5,700
Casablanca	Week 14, 2027 5 – 9 April 2027	1 Week	Onsite	€4,100
Singapore	Week 15, 2027 12 – 16 April 2027	1 Week	Onsite	€5,700
Muscat	Week 15, 2027 18 – 22 April 2027	1 Week	Onsite	€5,700
Milan	Week 17, 2027 26 – 30 April 2027	1 Week	Onsite	€5,700
London	Week 18, 2027 3 – 7 May 2027	1 Week	Onsite	€5,700
Barcelona	Week 18, 2027 3 – 7 May 2027	1 Week	Onsite	€5,700

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.

Laboratory Statistical Quality Control Course