what are statistical quality control tools?
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The 7 Quality Control (7-QC) Tools Cause-and-effect diagram (also called Ishikawa diagram or fishbone diagram) Check sheet. Control chart. ... Pareto chart.
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Statistical process control. Statistical process control (SPC) is a method of quality control which employs statistical methods to monitor and control a process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste (rework or scrap).
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['Flowchart. Most of us are familiar with flowcharts. ... ', 'Check Sheet. A check sheet is a basic quality tool that is used to collect data. ... ', 'Cause and Effect (fish bone) Diagram. ... ', 'Pareto Chart. ... ', 'Control Charts. ... ', 'Histograms. ... ', 'Scatter Diagrams.']
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['SAS. It is one of those data science tools which are specifically designed for statistical operations. ... ', 'Apache Spark. ... ', 'BigML. ... ', 'D3. ... ', 'MATLAB. ... ', 'Excel. ... ', 'ggplot2. ... ', 'Tableau.']
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Statistical process control (SPC) is a set of statistical methods based on the theory of variation that can be used to make sense of any process or outcome measured over time, usually with the intention of detecting improvement or maintaining a high level of performance.
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The tools used in obtaining measurements are ruler, tape measure, meter, T-square.
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['Probability sampling.', 'Questionnaires.', 'Rating scales.', 'Census.']
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The main objective of statistical quality control (SQC) is to achieve quality in production and service organizations, through the use of adequate statistical techniques. The following survey relates to manufacturing rather than to the service industry, but the principles of SQC can be successfully applied to either.
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['Binary compatibility analysis tools.', 'Bug databases: Comparison of issue tracking systems - Including bug tracking systems.', 'Build tools: Build automation, List of build automation software.', 'Call graph.', 'Code coverage: Code coverage#Software code coverage tools.']
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['Descriptive Type of Statistical Analysis.', 'Inferential Type of Statistical Analysis.', 'Prescriptive Analysis.', 'Predictive Analysis.', 'Casual Analysis.', 'Exploratory Data Analysis.', 'Mechanistic Analysis.']
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['Detection. The fault management tool checks the network and discovers problems that affect performance or data transmission.', "Diagnosis. The tool determines what the problem actually is and where on the network it's located.", 'Alerting. The tool alerts the user to the problem. ... ', 'Resolving.']
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['Customer Preference Tool. ... ', 'Availability of License within Customer Machine. ... ', 'Availability of the Test Environment. ... ', 'Additional Protocol Support. ... ', 'License Cost. ... ', 'Efficiency of Tool. ... ', 'User Options for Testing. ... ', 'Vendor Support.']
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['Parameterized reports.', 'Linked reports.', 'Snapshot reports.', 'Cached reports.', 'Ad hoc reports.', 'Clickthrough reports.', 'Drilldown reports.', 'Drillthrough reports.']
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['Cause-and-effect diagram.', 'Check sheet.', 'Control chart.', 'Histogram.', 'Pareto chart.', 'Scatter diagram.', 'Flow chart.', 'Run chart.']
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['R Programming. R is the leading analytics tool in the industry and widely used for statistics and data modeling. ... ', 'Tableau Public: ... ', 'SAS: ... ', 'Apache Spark. ... ', 'Excel. ... ', 'RapidMiner:', 'KNIME. ... ', 'QlikView.']
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Statistical process control (SPC) is defined as the use of statistical techniques to control a process or production method. SPC tools and procedures can help you monitor process behavior, discover issues in internal systems, and find solutions for production issues.
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["The organization's quality policy and quality objectives.", 'Quality manual.', 'Procedures, instructions, and records.', 'Data management.', 'Internal processes.', 'Customer satisfaction from product quality.', 'Improvement opportunities.', 'Quality analysis.']