In this course, you will learn to analyze data in terms of process stability and statistical control and why having a stable process is imperative prior to perform statistical hypothesis testing. You will create statistical process control charts for both continuous and discrete data using R software. You will analyze data sets for statistical control using control rules based on probability. Additionally, you will learn how to assess a process with respect to how capable it is of meeting specifications, either internal or external, and make decisions about 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 Managing, Describing, and Analyzing Data as a prerequisite to this course. R / RStudio required.
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Prueba Coursera para negociosQué aprenderás
Understand how to use, select, and interpret process control charts to identify special causes of variation
Create and interpret control charts for normal and non-normal distributions
Create and interpret control charts for discrete data
Analyze the capability of a process to meet customer specifications
Habilidades que obtendrás
- Analyzing a process for capability
- Analyzing a process for stability
- Make decisions about process improvement
- R Programming
- Rstudio
Background knowledge in statistics is helpful; visit Managing, Describing, and Analyzing Data as a prerequisite to this course. R / RStudio required.
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Prueba Coursera para negociosOfrecido por
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Programa - Qué aprenderás en este curso
Understanding Process Variation, Process Control and Control Charts
Xbar and R / Xbar and S Charts / X and MR Charts
X and Moving Range Charts for Non-Normally Distributed Data
Process Capability
Acerca de Programa especializado: Data Science Methods for Quality Improvement

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