In this course, you will learn to analyze measurement systems for process stability and capability and why having a stable measurement process is imperative prior to performing any statistical analysis. You will analyze continuous measurement systems and statistically characterize both accuracy and precision using R software. You will perform measurement systems analysis for potential, short-term and long-term statistical control and capability. Additionally, you will learn how to assess a discrete measurement and perform analyses for internal consistency, concordance between assessors, and concordance with a standard. Finally, you will learn how to make decisions on measurement systems process improvement.
Este curso forma parte de Programa especializado: Data Science Methods for Quality Improvement

Acerca de este Curso
Background knowledge in statistics is helpful; visit the Data Science Methods for Quality Improvement specialization as prerequisites to this course.
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Prueba Coursera para negociosQué aprenderás
Understand the terms and concepts associated with measurement systems analysis
Analyze measurement error to determine the potential capability of a measurement system
Analyze measurement error to determine the short-term and long-term capability of a measurement system
Analyze a measurement system for discrete data using potential, short-term, and long-term studies
Habilidades que obtendrás
- Analyze a continuous measurement system for sources of variation capability
- Analyze a discrete measurement system for validity and agreement
- Use RMarkdown to create a report
- Make decisions about measurement systems acceptability
Background knowledge in statistics is helpful; visit the Data Science Methods for Quality Improvement specialization as prerequisites to this course.
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosOfrecido por
Comienza a trabajar para obtener tu maestría
Programa - Qué aprenderás en este curso
Correlation and Association
The One Way Analysis of Variance (ANOVA) for Fixed and Random Effects
Introduction to Measurement Systems Analysis for Continuous Data, Potential Studies for Continuous Data
Short Term and Long Term Studies for Continuous Data
Acerca de Programa especializado: Data Science Methods for Quality Improvement

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