Certificate in Statistical Quality Metrics: Performance Evaluation Frameworks
-- ViewingNowThe Certificate in Statistical Quality Metrics: Performance Evaluation Frameworks course is a comprehensive program designed to equip learners with essential skills in statistical quality metrics. This course is critical for professionals seeking to advance their careers in quality management, data analysis, and performance improvement.
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โข Introduction to Statistical Quality Metrics: Understanding the fundamental concepts, importance, and applications of statistical quality metrics in performance evaluation frameworks.
โข Key Statistical Quality Metrics: A deep dive into essential metrics, such as mean, median, mode, standard deviation, variance, and range, with practical examples.
โข Measurement System Analysis (MSA): Exploring the components of MSA, including gauges, repeatability, reproducibility, stability, and bias, to ensure accurate and consistent measurements.
โข Control Charts: Mastering the creation and interpretation of control charts to monitor, analyze, and improve processes by distinguishing between common and special causes of variation.
โข Capability Analysis: Learning how to assess process capability using statistical metrics, such as Cp, Cpk, Pp, and Ppk, and determining the impact on overall performance.
โข Hypothesis Testing: Understanding the principles of hypothesis testing, including null and alternative hypotheses, significance levels, test statistics, and p-values, to make data-driven decisions.
โข Acceptance Sampling: Discovering strategies for accepting or rejecting lots based on sample data, including single, double, and multiple sampling plans, and attribute and variable sampling methods.
โข Design of Experiments (DOE): Exploring the fundamentals of DOE, including factorial designs, randomization, replication, blocking, and confounding, to optimize processes and products.
โข Process Improvement Techniques: Applying statistical quality metrics to popular process improvement methodologies, such as Six Sigma, Lean, and Total Quality Management (TQM), to drive continuous improvement.
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