Professional Certificate in Quality Control Statistics
-- ViewingNowThe Professional Certificate in Quality Control Statistics is a comprehensive course designed to equip learners with critical skills in statistical quality control. This course emphasizes the importance of data-driven decision-making in quality control, providing a solid foundation in statistical methods and techniques.
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⢠Unit 1: Introduction to Quality Control Statistics - Overview of quality control, statistical methods, and their importance in ensuring product quality.
⢠Unit 2: Sampling Techniques - Study of various sampling methods, including simple random sampling, stratified sampling, and cluster sampling.
⢠Unit 3: Control Charts - Understanding control charts, their types, and their role in monitoring and controlling quality.
⢠Unit 4: Process Capability Analysis - Analysis of process capability, including the calculation of process capability indices.
⢠Unit 5: Measurement System Analysis - Examination of measurement system analysis, including the evaluation of measurement system accuracy and precision.
⢠Unit 6: Hypothesis Testing - Exploration of hypothesis testing, including the use of statistical tests to compare means and proportions.
⢠Unit 7: Acceptance Sampling - Study of acceptance sampling, including the use of sampling plans to accept or reject batches of products.
⢠Unit 8: Design of Experiments - Introduction to design of experiments, including the use of experimental designs to improve product quality.
⢠Unit 9: Quality Improvement Tools - Examination of quality improvement tools, such as Pareto charts, cause-and-effect diagrams, and scatter plots.
⢠Unit 10: Statistical Process Control - Understanding of statistical process control, including the use of control charts to monitor and control processes.
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