Resource that gives a clear description of what the p-values and significance levels mean, and what statistical significance means. Graphs are used to illustrate the topics covered in this source.
Text resource that covers what type I and II errors are, how to Calculate an Alpha Level for one- and two-tailed tests, and why an Alpha Level of .05 commonly used. There is also a video included at the beginning of the video to explain the topics.
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.
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.
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.
This is a pdf version of a textbook that is dedicated to all topics involving statistical quality control. It provides comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of situations
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