Mastering Statistics In Metrology: A Practical Guide to Measurement Uncertainty, Calibration Data Analysis, Gage R&R, and ISO 17025 Compliance for Engineers and Technicians

If you work with calibration equipment, measurement instruments, or quality systems — and you need to understand the numbers behind the measurements — this book was written for you.Mastering Statistics in Metrology is the only resource that takes measurement uncertainty, Gage R&R, SPC control charts, process capability, and ISO 17025 compliance and explains every concept in plain English, with every calculation done step by step in Microsoft Excel — no programming, no specialist software required.What you will learn:How to build a complete uncertainty budget from scratch using the GUM methodologyHow to plan, conduct, and interpret a Gage R&R study using the Average and Range methodHow to build and read Xbar-R, I-MR, and p-charts for calibration lab monitoringHow to calculate Cp, Cpk, Pp, and Ppk — and what they really mean for your processHow to analyse calibration data using linear regression and residual analysisHow to make defensible pass/fail decisions using guard-banding and ILAC G8 decision rulesWhat ISO/IEC 17025:2017 requires statistically — clause by clause — and exactly how to prove complianceHow to run a Monte Carlo simulation for uncertainty in Excel without writing a single line of codeThis book covers dimensional instruments (calipers, micrometers, CMMs), torque wrenches, pressure gauges, temperature sensors, load cells, and electrical measurement equipment — with four fully worked uncertainty budget examples across different instrument types.Ideal for calibration technicians, quality engineers, metrologists, CCT exam candidates, and anyone responsible for laboratory accreditation or measurement system validation.No statistics degree required. No coding. Just Excel, clear explanations, and results you can use today.Scroll up to get your copy today! Read more