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.
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Measurement Systems Analysis
Dieser Kurs ist Teil von Spezialisierung Data Science Methods for Quality Improvement
Dozent: Wendy Martin
Bei enthalten
Empfohlene Erfahrung
Was Sie lernen werden
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
Kompetenzen, die Sie erwerben
- Kategorie: Use RMarkdown to create a report
- Kategorie: Analyze a continuous measurement system for sources of variation capability
- Kategorie: Analyze a discrete measurement system for validity and agreement
- Kategorie: Make decisions about measurement systems acceptability
Wichtige Details
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In diesem Kurs gibt es 5 Module
In this module, we will learn to identify, characterize and analyze relationships between two variables. We will first learn about correlation between two continuous variables and tests for significance. Next, we will learn about correlation for ordinal variables, and association for one nominal and one continuous variable. Finally, we will learn to assess relationship for two nominal variables.
Das ist alles enthalten
9 Videos2 Lektüren1 Quiz2 Diskussionsthemen
In this module, we will perform an Analysis of Variance for Fixed and Random Effects for a single factor and interpret results. We will first examine within versus between-group variation, and interpret the ANOVA source table. We will learn how to perform the ANOVA with Fixed Effects for means and dispersion, considering normality and equal/unequal variance. We'll create data visualizations of results, calculate statistical importance and perform post hoc analysis. Finally, we'll perform the ANOVA with Random Effects.
Das ist alles enthalten
15 Videos2 Quizzes1 Diskussionsthema
In this module, we will understand the terms and concepts associated with measurement systems analysis and analyze measurement error to determine the potential capability of a measurement system. We will explore the guidelines for measurement systems analyses and the equations for measurement error and capability. We will then calculate the sources of variation from the ANOVA determine the largest sources of variation, and determine capability in comparison to both process variation and specification tolerance. Finally, we'll create data visualizations, and interpret the results of the analysis.
Das ist alles enthalten
11 Videos1 Quiz1 Diskussionsthema
In this module, we will analyze measurement error to determine the short and long-term capability of a measurement system. We will build on what we have learned in the previous module, adding the evaluation of the underlying assumptions of normality, independence of part size/magnitude and measurement error, and stability of measurement error. We'll perform an ANOVA to determine sources of variation along with the determination of gauge discrimination. Finally, we'll create data visualizations, and interpret the results of the analysis.
Das ist alles enthalten
7 Videos2 Quizzes1 Diskussionsthema
In this module, we will analyze a discrete measurement system to determine agreement, consistency, and validity. We will first familiarize ourselves with the terms, definitions, and procedures associated with Discrete Measurement Systems Analysis. Next, we will explore the measurement of agreement using the Kappa statistic and the measure of disagreement using the test of symmetry. We will then learn to perform analyses for concordance with two appraisers and two categories, two appraisers more than two categories, and more than two appraisers. We will analyze appraisers for internal consistency. Finally, we'll assess validity (concordance with a standard).
Das ist alles enthalten
14 Videos1 Quiz1 Diskussionsthema
Dozent
Empfohlen, wenn Sie sich für Probability and Statistics interessieren
University of Minnesota
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Auf einen Abschluss hinarbeiten
Dieses Kurs ist Teil des/der folgenden Studiengangs/Studiengänge, die von University of Colorado Boulderangeboten werden. Wenn Sie zugelassen werden und sich immatrikulieren, können Ihre abgeschlossenen Kurse auf Ihren Studienabschluss angerechnet werden und Ihre Fortschritte können mit Ihnen übertragen werden.¹
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