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Statistical Quality Control : Modern Introduction / by Chad Sampson

By: Material type: TextTextLanguage: English Publication details: Wilmington : Kaufman Press, 2022.Description: x,290p. : ill. ; 26 cmISBN:
  • 9781666889161
Subject(s): Other classification:
  • B28930bX:89Q8 R2
Summary: Statistical quality control, the use of statistical methods in the monitoring and maintaining of the quality of products and services. One method, referred to as acceptance sampling, can be used when a decision must be made to accept or reject a group of parts or items based on the quality found in a sample. A second method, referred to as statistical process control, uses graphical displays known as control charts to determine whether a process should be continued or should be adjusted to achieve the desired quality. Statistics means data, a good amount of data. Or simply, the collaborative study of accumulation, analysis, interpretation and presentation of massive volumes of data. Applications of statistical methods in order to visualize, interpret and anticipate outcomes over collected data. Quality "a characteristic of fitness for purpose at lowest cost", or "degree of perfection that suffices the customer requirements". Quality can be defined as "the entirety of features and characteristics for products and services satisfying implicit and explicit demands of customers. Statistical Quality Control is best suited for students in engineering, statistics, business and management science or students in undergraduate courses.Contents: 1. Statistics, 2. Quality Control and Classification of Statistics, 3. Quality System Improvement, 4. Qualitative Research Methods, S. Supplier Quality Management, 6. Statistical Hypothesis Testing, 7. Analysis of Variance, 8. Standard Errors, 9. Distributions Methods, 10. Probability, 11. Sampling Methods. Chad Sampson is a Professor of Mathematics at Nigeria. He taught mathematics, statistics and information processing to students on business and professional courses for many years. He has more than three decades of teaching and research experience, which includes his teaching of engineering and management students at Institute of Science and Engineering. He is the recipient of Academic Excellence Award in an International Conference on Advances in Industrial Engineering Practices and Best Teacher Award. Chad Sampson has to his credit about 37 research articles published in national and international journals of repute and conference proceedings.
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Textual Textual Central Science Library Central Science Library B28930bX:89Q8 R2 (Browse shelf(Opens below)) Available SL1656009

Includes bibliography and index.

Statistical quality control, the use of statistical methods in the monitoring and maintaining of the quality of products and services. One method, referred to as acceptance sampling, can be used when a decision must be made to accept or reject a group of parts or items based on the quality found in a sample. A second method, referred to as statistical process control, uses graphical displays known as control charts to determine whether a process should be continued or should be adjusted to achieve the desired quality. Statistics means data, a good amount of data. Or simply, the collaborative study of accumulation, analysis, interpretation and presentation of massive volumes of data. Applications of statistical methods in order to visualize, interpret and anticipate outcomes over collected data. Quality "a characteristic of fitness for purpose at lowest cost", or "degree of perfection that suffices the customer requirements". Quality can be defined as "the entirety of features and characteristics for products and services satisfying implicit and explicit demands of customers. Statistical Quality Control is best suited for students in engineering, statistics, business and management science or students in undergraduate courses.Contents: 1. Statistics, 2. Quality Control and Classification of Statistics, 3. Quality System Improvement, 4. Qualitative Research Methods, S. Supplier Quality Management, 6. Statistical Hypothesis Testing, 7. Analysis of Variance, 8. Standard Errors, 9. Distributions Methods, 10. Probability, 11. Sampling Methods.
Chad Sampson is a Professor of Mathematics at Nigeria. He taught mathematics, statistics and information processing to students on business and professional courses for many years. He has more than three decades of teaching and research experience, which includes his teaching of engineering and management students at Institute of Science and Engineering. He is the recipient of Academic Excellence Award in an International Conference on Advances in Industrial Engineering Practices and Best Teacher Award. Chad Sampson has to his credit about 37 research articles published in national and international journals of repute and conference proceedings.

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