{"product_id":"statistical-quality-control","title":"Statistical Quality Control","description":"\u003cb\u003eSTATISTICAL QUALITY CONTROL\u003c\/b\u003e \u003cp\u003e\u003cb\u003eProvides a basic understanding of statistical quality control (SQC) and demonstrates how to apply the techniques of SQC to improve the quality of products in various sectors\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThis book introduces Statistical Quality Control and the elements of Six Sigma Methodology, illustrating the widespread applications that both have for a multitude of areas, including manufacturing, finance, transportation, and more. It places emphasis on both the theory and application of various SQC techniques and offers a large number of examples using data encountered in real life situations to support each theoretical concept.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eStatistical Quality Control: Using MINITAB, R, JMP and Python\u003c\/i\u003e begins with a brief discussion of the different types of data encountered in various fields of statistical applications and introduces graphical and numerical tools needed to conduct preliminary analysis of the data. It then discusses the basic concept of statistical quality control (SQC) and Six Sigma Methodology and examines the different types of sampling methods encountered when sampling schemes are used to study certain populations. The book also covers Phase 1 Control Charts for variables and attributes; Phase II Control Charts to detect small shifts; the various types of Process Capability Indices (CPI); certain aspects of Measurement System Analysis (MSA); various aspects of PRE-control; and more. This helpful guide also\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eFocuses on the learning and understanding of statistical quality control for second and third year undergraduates and practitioners in the field\u003c\/li\u003e\n\u003cli\u003eDiscusses aspects of Six Sigma Methodology\u003c\/li\u003e\n\u003cli\u003eTeaches readers to use MINITAB, R, JMP and Python to create and analyze charts\u003c\/li\u003e\n\u003cli\u003eRequires no previous knowledge of statistical theory\u003c\/li\u003e\n\u003cli\u003eIs supplemented by an instructor-only book companion site featuring data sets and a solutions manual to all problems, as well as a student book companion site that includes data sets and a solutions manual to all odd-numbered problems\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003ci\u003eStatistical Quality Control: Using MINITAB, R, JMP and Python\u003c\/i\u003e is an excellent book for students studying engineering, statistics, management studies, and other related fields and who are interested in learning various techniques of statistical quality control. It also serves as a desk reference for practitioners who work to improve quality in various sectors, such as manufacturing, service, transportation, medical, oil, and financial institutions. It‘s also useful for those who use Six Sigma techniques to improve the quality of products in such areas.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Product","offer_id":54222298546520,"sku":"9781119671633","price":112.99,"currency_code":"EUR","in_stock":true}],"url":"https:\/\/agendabookshop.com\/products\/statistical-quality-control","provider":"Agenda Bookshop","version":"1.0","type":"link"}