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本文(ASTM E456-2013ae3 4594 Standard Terminology Relating to Quality and Statistics《有关质量和统计的标准术语》.pdf)为本站会员(outsidejudge265)主动上传,麦多课文库仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。 若此文所含内容侵犯了您的版权或隐私,请立即通知麦多课文库(发送邮件至master@mydoc123.com或直接QQ联系客服),我们立即给予删除!

ASTM E456-2013ae3 4594 Standard Terminology Relating to Quality and Statistics《有关质量和统计的标准术语》.pdf

1、Designation: E456 13a3An American National StandardStandard TerminologyRelating to Quality and Statistics1This standard is issued under the fixed designation E456; the number immediately following the designation indicates the year oforiginal adoption or, in the case of revision, the year of last re

2、vision. A number in parentheses indicates the year of last reapproval. Asuperscript epsilon () indicates an editorial change since the last revision or reapproval.This standard has been approved for use by agencies of the U.S. Department of Defense.1NOTENew terms were added and other terms were corr

3、ected editorially in May 2014.2NOTENew terms were added and other terms were corrected editorially in March 2015.3NOTENew terms were added and other terms were corrected editorially in April 2016.1. Scope1.1 This standard is the general terminology standard forterms defined in the standards of Commi

4、ttee E11 on Qualityand Statistics.1.2 A term in this standard which lists an attribution to anE11 technical standard indicates that the standard is normativefor that term. Any changes in the term definition in thenormative standard will be editorially changed in this standard.Any terms added to an E

5、11 standard will be editorially addedto this standard with an attribution to that standard.1.3 Term definitions that are similar to ISO 3534 will benoted in this standard, but ISO 3534 will not be considerednormative for any E11 terms.2. Referenced Documents2.1 ASTM E11 Standards with Terms in This

6、Standard:2E29 Practice for Using Significant Digits in Test Data toDetermine Conformance with SpecificationsE105 Practice for Probability Sampling of MaterialsE141 Practice for Acceptance of Evidence Based on theResults of Probability SamplingE177 Practice for Use of the Terms Precision and Bias inA

7、STM Test MethodsE178 Practice for Dealing With Outlying ObservationsE691 Practice for Conducting an Interlaboratory Study toDetermine the Precision of a Test MethodE1169 Practice for Conducting Ruggedness TestsE1325 Terminology Relating to Design of ExperimentsE1402 Guide for Sampling DesignE1488 Gu

8、ide for Statistical Procedures to Use in Developingand Applying Test MethodsE1994 Practice for Use of Process Oriented AOQL andLTPD Sampling PlansE2234 Practice for Sampling a Stream of Product by Attri-butes Indexed by AQLE2281 Practice for Process Capability and PerformanceMeasurementE2282 Guide f

9、or Defining the Test Result of a Test MethodE2334 Practice for Setting an Upper Confidence Bound Fora Fraction or Number of Non-Conforming items, or a Rateof Occurrence for Non-conformities, Using AttributeData, When There is a Zero Response in the SampleE2489 Practice for Statistical Analysis of On

10、e-Sample andTwo-Sample Interlaboratory Proficiency Testing ProgramsE2554 Practice for Estimating and Monitoring the Uncer-tainty of Test Results of a Test Method Using ControlChart TechniquesE2555 Practice for Factors and Procedures for Applying theMIL-STD-105 Plans in Life and Reliability Inspectio

11、nE2586 Practice for Calculating and Using Basic StatisticsE2587 Practice for Use of Control Charts in StatisticalProcess ControlE2655 Guide for Reporting Uncertainty of Test Results andUse of the Term Measurement Uncertainty in ASTM TestMethodsE2696 Practice for Life and Reliability Testing Based on

12、 theExponential DistributionE2709 Practice for Demonstrating Capability to Complywith an Acceptance ProcedureE2762 Practice for Sampling a Stream of Product by Vari-ables Indexed by AQLE2782 Guide for Measurement Systems Analysis (MSA)E2819 Practice for Single- and Multi-Level ContinuousSampling of

13、a Stream of Product byAttributes Indexed byAQLE2935 Practice for Conducting Equivalence Testing inLaboratory Applications1This terminology is under the jurisdiction ofASTM Committee E11 on Qualityand Statistics and is the direct responsibility of Subcommittee E11.70 on Editorial/Terminology.Current

14、edition approved Nov. 15, 2013. Published December 2013. Originallyapproved in 1972. Last previous edition approved in 2013 as E456 13. DOI:10.1520/E0456-13AE03.2For referenced ASTM standards, visit the ASTM website, www.astm.org, orcontact ASTM Customer Service at serviceastm.org. For Annual Book o

15、f ASTMStandards volume information, refer to the standards Document Summary page onthe ASTM website.Copyright ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959. United States12.2 ISO Standards:3ISO 3534 StatisticsVocabulary and SymbolsPart 2 Applied Statistics3

16、. Terminologyacceptance quality limit (AQL), nquality limit that is theworst tolerable process average when a continuing series oflots is submitted for acceptance sampling. E2234accepted reference value, na value that serves as anagreed-upon reference for comparison, and which is derivedas: (1) a th

17、eoretical or established value, based on scientificprinciples, (2) an assigned or certified value, based onexperimental work of some national or internationalorganization, or (3) a consensus or certified value, based oncollaborative experimental work under the auspices of ascientific or engineering

18、group. E177accuracy, nthe closeness of agreement between a test resultand an accepted reference value. E177aliases, nin a fractional factorial design, two or more effectswhich are estimated by the same contrast and which,therefore, cannot be estimated separately. E1325area sampling, nprobability sam

19、pling in which a map, ratherthan a tabulation of sampling units, serves as the samplingframe. E1402assignable cause, nfactor that contributes to variation in aprocess or product output that is feasible to detect andidentify (see special cause). E2587attributes data, nobserved values or test results

20、that indicatethe presence or absence of specific characteristics or countsof occurrences of events in time or space. E2587attributes, method of, nmeasurement of quality by themethod of attributes consists of noting the presence (orabsence) of some characteristic or attribute in each of theunits in t

21、he group under consideration, and counting howmany units do (or do not) possess the quality attribute, orhow many such events occur in the unit, group, or area.E2334audit subsample, na small subsample of a sample selectedfor review of all sample selection and data collectionprocedures. E141average o

22、utgoing quality (AOQ), nthe average percentdefective of outgoing product including all accepted lots orbatches, after any defective units found in them are replacedby acceptable units, plus all lots or batches which are notaccepted after such lots or batches have been effectively100 % inspected and

23、all defective units replaced by accept-able units. E1994average outgoing quality limit (AOQL), nthe maximum oftheAOQs for all possible incoming percentages defective forthe process, for a given acceptance sampling plan. E1994average quality protection, na type of protection in whichthere is prescrib

24、ed some chosen value of average percentdefective in the product after inspection (average outgoingquality limit (AOQL), that shall not be exceeded in the longrun no matter what may be the level of percent defective inthe product submitted to the inspector. E1994average run length (ARL), nthe average

25、 number of timesthat a process will have been sampled and evaluated beforea shift in process level is signaled. E2587balanced incomplete block design (BIB), nan incompleteblock design in which each block contains the same numberk of different versions from the t versions of a singleprincipal factor

26、arranged so that every pair of versionsoccurs together in the same number, , of blocks from the bblocks. E1325bias, nthe difference between the expectation of the testresults and an accepted reference value. E177binary scale, nnominal scale with only two possiblecategories. E2282bulk sampling, nsamp

27、ling to prepare a portion of a mass ofmaterial that is representative of the whole. E1402c chart, ncontrol chart that monitors the count of occur-rences of an event in a defined increment of time or space.E2587calibration, nprocess of establishing a relationship betweena measurement device and a kno

28、wn standard value(s).E2782center line, nline on a control chart depicting the averagelevel of the statistic being monitored. E2587chance cause, nsource of inherent random variation in aprocess which is predictable within statistical limits (seecommon cause). E2587characteristic, na property of items

29、 in a sample or popula-tion which, when measured, counted or otherwise observed,helps to distinguish among the items. E2282check sample, nsee control sample. E2554classification of defects, nthe enumeration of possible de-fects of the unit of product arranged according to theirseriousness, that is,

30、critical, major, or minor defect. E2234cluster sampling, nsampling in which the sampling unitconsists of a group of subunits, all of which are measured forsampled clusters. E1402coefficient of determination, nsquare of the correlationcoefficient, r. E2586coefficient or variation (CV), nfor a nonnega

31、tivecharacteristic, the ratio of the standard deviation to the meanfor a population or sample. E2586collaborative study, ninterlaboratory study in which eachlaboratory uses the defined method of analysis to analyzeidentical portions of homogeneous materials to assess the3Available from International

32、 Organization for Standardization (ISO), 1, ch. dela Voie-Creuse, CP 56, CH-1211 Geneva 20, Switzerland, http:/www.iso.org.E456 13a32performance characteristics obtained for that method ofanalysis. E2489collaborative trial, nsee collaborative study. E2489common cause, nsee chance cause. E2587complet

33、ely randomized design, na design in which thetreatments are assigned at random to the full set of experi-mental units. E1325completely randomized factorial design, na factorial ex-periment (including all replications) run in a completelyrandomized design. E1325component of variance, na part of a tot

34、al variance identifiedwith a specified source of variability. E1488composite design, na design developed specifically forfitting second order response surfaces to study curvature,constructed by adding further selected treatments to thoseobtained from a 2nfactorial (or its fraction). E1325confidence

35、bound, nsee confidence limit. E2586confidence coefficient, nsee confidence level. E2586confidence interval, nan interval estimate L, U with thestatistics L and U as limits for the parameter and withconfidence level 1-, where Pr(L U) 1- . E2586confidence level, nthe value, 1-, of the probability asso

36、ci-ated with a confidence interval, often expressed as apercentage. E2586confidence limit, neach of the limits, L and U, of aconfidence interval, or the limit of a one-sided confidenceinterval. E2586confounded factorial design, na factorial experiment inwhich only a fraction of the treatment combina

37、tions are runin each block and where the selection of the treatmentcombinations assigned to each block is arranged so that oneor more prescribed effects is (are) confounded with the blockeffect(s), while the other effects remain free fromconfounding. E1325confounding, ncombining indistinguishably th

38、e main effectof a factor or a differential effect between factors (interac-tions) with the effect of other factor(s), block factor(s) orinteractions(s). E1325consumers risk, nprobability that a lot having specifiedrejectable quality level will be accepted under a definedsampling plan. E2555continuou

39、s sampling inspection, na method of sampling astream of product in order of production where the samplingfrequency is adjusted based on ongoing inspection results.E2819contrast, na linear function of the observations for which thesum of the coefficients is zero. E1325contrast analysis, na technique

40、for estimating the param-eters of a model and making hypothesis tests on preselectedlinear combinations of the treatments (contrasts). E1325control chart, nchart on which are plotted a statisticalmeasure of a subgroup versus time of sampling along withlimits based on the statistical distribution of

41、that measure soas to indicate how much common, or chance, cause variationis inherent in the process or product. E2587control chart factor, na tabulated constant, depending onsample size, used to convert specified statistics or parametersinto a central line value or control limit appropriate to theco

42、ntrol chart. E2587control limits, nlimits on a control chart that are used ascriteria for signaling the need for action or judging whethera set of data does or does not indicate a state of statisticalcontrol based on a prescribed degree of risk. E2587control sample, nsample taken from a stable, homo

43、geneousmaterial for the purposes of monitoring the performance ofa test method in a laboratory. E2554correlation coeffecient, nfor a population, , a dimension-less measure of association between two variables X and Y,equal to the covariance divided by the product of Xandtimes Y. E2586correlation coe

44、ffecient, nfor a sample, r, the quantity:E2586(x 2 x!y 2 y!n 2 1!sxsy(1)covariance, nof a population, cov (X, Y), for two variables,X and Y, the expected value of (X X)(Y Y). E2586covariance, nof a sample, the quanity: E2586(x 2 x!y 2 y!n 2 1!(2)critical defect, na defect that judgment and experienc

45、eindicate would result in hazardous or unsafe conditions forindividuals using, maintaining, or depending upon theproduct, or a defect that judgment and experience indicate islikely to prevent performance of the function of a major enditem. E2234defect, nany nonconformance of the unit of product with

46、specified requirements. E2234degrees of freedom, nthe number of independent data pointsminus the number of parameters that have to be estimatedbefore calculating the variance. E2586dependent variable, na variable to be predicted using anequation. E2586design of experiments, nthe arrangement in which

47、 anexperimental program is to be conducted, and the selectionof the levels (versions) of one or more factors or factorcombinations to be included in the experiment. Synonymsinclude experiment design and experimental design. E1325double sampling plan, na multiple sampling plan in whichup to two sampl

48、ings can be taken and evaluated to accept orreject a lot. E2234E456 13a33equal complete coverage result, nthe numerical character-istic of interest calculated from observations made bydrawing randomly from the frame, all of the sampling unitscovered by the frame. E141equivalence, ncondition that two

49、 population parametersdiffer by no more than predetermined limits. E2935error of result, na test result minus the accepted referencevalue of the characteristic. E2655estimate, nsample statistic used to approximate a populationparameter. E2586evolutionary operation (EVOP), na sequential form ofexperimentation conducted in production facilities duringregular production. E1325EWMA chart, ncontrol chart that monitors the exponen-tially weighted moving averages of consecutive su

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