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六西格玛专业述语的英文解释
Glossary 4-Block …………………………… a error …………………………… a risk ………………………………Accuracy …………………………Active (opportunity or defect) …Advocacy Team ………………… Alternate Hypothesis …………ANOVA …………………………… ANOVA method (Gauge RR) … Assignable cause variation …… Attribute Chart …………………Attribute data …………………… Average ……………………… Graphical tool to show the relationship between process capability, control technology.The error made if difference is claimed, when the reality is sameness (e.g. rejecting good parts; Producer’s Risk).The risk (probability) of making an a error (frequently set at 5%).How close measurements are, on average, to their target.An opportunity or defect that is being measured (a defect we are looking for).The group of people who have a stake in the Six Sigma project, including those who must keep it in control.See HaAnalysis of Variance. A statistical method of quantifying contributions of discrete levels of “X”s to the variation in a “Y” response. A Minitab selection for Gauge RR that includes operator-part interaction in the calculation of variation contributions. The most accurate method for Gauge RR. Removable variation in a process; variation due to outside influences. See ‘Black Noise’. Statistical Process Control (SPC) chart for discrete data. Includes p, np, c and u charts.Data that can be described by levels, integer values or categories only. See Discrete data. The sum of all data in a sample divided by the number of data points in the sample. See Mean. b error …………………………… b risk …………………………… Baselining ………………………Benchmarking…………………… Black Belt ……………………… Black Noise ……………………… Boxplot ………………………… Brainstorming …………………… Centring ………………………… Centring of X variables ………… Central Limit Theorem ………… The error made if sameness is claimed, when the reality is difference (e.g. accepting bad parts - Consumer’s Risk).The risk (probability) of making a beta error (frequently set at 10%). Evaluating the capability of a proc
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