- Level Professional
- المدة 17 ساعات hours
- الطبع بواسطة University of Colorado Boulder
-
Offered by
عن
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. This specialization can be taken for academic credit as part of CU Boulder's Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder's departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics.الوحدات
Introduction to Correlation and Association
1
Discussions
- Introduce Yourself!
2
Readings
- Earn Academic Credit for your Work!
- Course Support
Measures of Relationship
1
Videos
- Introduction to Correlation and Association
Correlation for Two Continuous Variables
4
Videos
- The Coefficient of Correlation
- Calculating the Coefficient of Correlation
- The One Sample t Test for Correlation
- Fisher’s Z Test for Correlation
Correlation for Two Ordinal Variables
1
Videos
- Spearman’s Rank-Order Correlation
Association for One Nominal, One Continuous Variable
1
Videos
- The Point Biserial Correlation
Association for Two Nominal Variables
2
Videos
- Measures of Association
- Calculating Measures of Association
Discussion: Correlation and Association
1
Discussions
- Correlation and Association
Assessment: Correlation and Association
1
Quiz
- Correlation and Association
Introduction to the One Way Analysis of Variance
2
Videos
- Introduction to the Analysis of Variance
- ANOVA Principles
One Way ANOVA for Means, Fixed Efffects
6
Videos
- One Way ANOVA for Means
- The ANOVA Source Table
- Perform an ANOVA in RStudio
- Welch's ANOVA for Unequal Variance
- Data Visualization for ANOVA
- Statistical Importance
One Way ANOVA for Dispersion, Fixed Efffects
1
Videos
- One Way ANOVA for Dispersion
Post Hoc Analysis
2
Videos
- Post Hoc Analysis - Tukey HSD
- Post Hoc Analysis - Games and Howell
Procedure for the One Way ANOVA
2
Videos
- Roadmap for the One Way ANOVA
- Roadmap for the One Way ANOVA
One Way ANOVA Random Efffects
2
Videos
- One Way ANOVA - Random Effects
- One Way ANOVA - Random Effects
Discussion: One Way ANOVA for Fixed and Random Effects
1
Discussions
- One Way ANOVA for Fixed and Random Effects
Assessment: One Way ANOVA for Fixed and Random Effects
2
Quiz
- One Way ANOVA for Fixed Effects
- One Way ANOVA for Random Effects
Introduction Measurement Systems Analysis
3
Videos
- Introduction to Continuous MSA
- Measurement Systems Capability
- Guidelines for Continuous MSA
Using ANOVA to Estimate Variation
3
Videos
- Sources of Variation
- Two Way Random Effects ANOVA
- Estimating Variance from Mean Squares
Assessing Measurement System Variation
2
Videos
- The Components of Variance
- Study Variation and Discrimination
Visualizing and Interpreting Results
3
Videos
- Data Visualizations
- Data Visualizations
- Interpreting Results
Discussions: Measurement Systems Analysis and Potential Studies
1
Discussions
- Measurement Systems Analysis and Potential Studies
Assessment: Measurement Systems Analysis and Potential Studies
1
Quiz
- Measurement Systems Analysis and Potential Studies
Short Term Measurement Systems Analysis
4
Videos
- Short Term Measurement Systems Analysis
- Testing Assumptions, Evaluating Control
- Measurement Error versus Part Size
- Short Term Analysis
Long Term Measurement Systems Analysis
3
Videos
- Long Term Measurement Systems Analysis
- Evaluating Control
- Measurement Error versus Part Size
Discussion: Short and Long Term Measurement Systems Analysis
1
Discussions
- Short and Long Term Measurement Systems Analysis
Assessment: Short and Long Term Measurement Systems Analysis
2
Quiz
- Short Term Measurement Systems Analysis
- Long Term Measurement Systems Analysis
Introduction to Discrete Measurement Systems Analysis
2
Videos
- Discrete MSA Terms and Definitions
- Agreement vs Disagreement
Measuring Agreement
3
Videos
- The Kappa Statistic
- Kappa vs Kappa Max
- Interpreting Kappa Max
Setting up the Study
2
Videos
- Discrete MSA Procedure Part 1
- Discrete MSA Procedure Part 2
Analysis for Two Appraisers, Two Categories
2
Videos
- Concordance - 2 Appraisers, 2 Categories
- Internal Consistency
Analysis for Two Appraisers, More than Two Categories
3
Videos
- Concordance - More Than Two Categories
- Post Hoc Analysis - More Than Two Categories
- Internal Consistency - More Than Two Categories
Assessing Agreement with a Standard
1
Videos
- Validity - Agrement with a Standard
Analysis for More than Two Appraisers
1
Videos
- More Than 2 Appraisers
Discussion: Discrete Measurement Systems Analysis
1
Discussions
- Discrete Measurement Systems Analysis
Assessment: Discrete Measurement Systems Analysis
1
Quiz
- Discrete Measurement Systems Analysis
Auto Summary
This course on Measurement Systems Analysis, led by Coursera, focuses on analyzing measurement systems for process stability and capability using R software. Ideal for data science and AI professionals, it covers continuous and discrete measurement systems, emphasizing accuracy, precision, and statistical control. The course is part of CU Boulder's MS-DS program, suitable for those with diverse educational and professional backgrounds. Subscription options include Starter, Professional, and Paid. The course duration is 1020 minutes.

Wendy Martin