Global Certificate in Statistical Quality Assurance Principles
-- ViewingNowThe Global Certificate in Statistical Quality Assurance Principles is a comprehensive course designed to equip learners with the essential skills required to excel in quality assurance. This course emphasizes the importance of statistical methods in ensuring product and service quality, thereby reducing waste and increasing efficiency.
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⢠Descriptive Statistics & Data Analysis: This unit will cover the basics of statistical analysis, including data collection, data description, and measures of central tendency and dispersion.
⢠Probability Theory: This unit will delve into probability theory, covering concepts such as random variables, probability distributions, and density functions.
⢠Statistical Inference: This unit will explore statistical inference, including hypothesis testing, confidence intervals, and estimation.
⢠Quality Control Charts: This unit will examine quality control charts, including their design, interpretation, and application in statistical quality assurance.
⢠Process Capability Analysis: This unit will cover process capability analysis, including the calculation of process capability indices and their interpretation.
⢠Experimental Design: This unit will discuss experimental design, including the principles of design of experiments and the use of statistical models to analyze experimental data.
⢠Acceptance Sampling: This unit will examine acceptance sampling, including the design and analysis of acceptance sampling plans.
⢠Measurement System Analysis: This unit will explore measurement system analysis, including the evaluation of measurement system precision and bias.
⢠Reliability and Maintainability: This unit will cover reliability and maintainability analysis, including the calculation of reliability metrics and the analysis of failure data.
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