Curriculum

  • Covers many topics within Hypothesis Testing, with a section dedicated to Significance level.
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  • Simple definition of the level of significance, with an explanation as to how it differs from the confidence level.
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  • Slideshow that describes what statistical quality control is and how it is used.
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  • Chapter excerpt from a book that covers the following topics: 1. Describe categories of statistical quality control (SQC). 2. Explain the use of descriptive statistics in measuring quality characteristics. 3. Identify and describe causes of variation. 4. Describe the use of control charts. 5. Identify the differences between x-bar, R-, p-, and c-charts. 6. Explain the meaning of process capability and the process capability index. 7. Explain the term Six Sigma. 8. Explain the process of acceptance sampling and describe the use of operating characteristic (OC) curves. 9. Describe the challenges inherent in measuring quality in service organizations.
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  • Chapter excerpt from a book that covers the following topics: 1. Describe categories of statistical quality control (SQC). 2. Explain the use of descriptive statistics in measuring quality characteristics. 3. Identify and describe causes of variation. 4. Describe the use of control charts. 5. Identify the differences between x-bar, R-, p-, and c-charts. 6. Explain the meaning of process capability and the process capability index. 7. Explain the term Six Sigma. 8. Explain the process of acceptance sampling and describe the use of operating characteristic (OC) curves. 9. Describe the challenges inherent in measuring quality in service organizations.
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  • Video that will explain the concepts of attribute and variable data, and procedure for plotting attribute and variable quality control charts & reading different chart patterns.
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  • Description of statistical quality control and control charts.
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  • Resource providing information in order to understand the purpose and function of statistical quality control, understand the differences between attributes and variables, and become familiar with basic methods of statistical process control.
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  • Rresource covering what is meant by the term statistical quality control, why different types of control charts are necessary, how to construct and interpret a small variety of control charts, in particular those based on means and ranges, and how to describe in outline the relationship between hypothesis testing and statistical quality control.
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  • A brief introduction to the use of statistical quality control charts for analyzing, monitoring, and improving health care processes. After an overview of key concepts, several examples illustrate control chart use and interpretation. The article concludes with some common pitfalls to avoid and references for further exploration.
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