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dc.rights.licenseAll rights reserveden_US
dc.contributor.advisorTorres, Edgar
dc.contributor.authorAlomar Bermúdez, Carola E.
dc.date.accessioned2020-08-05T11:30:48Z
dc.date.available2020-08-05T11:30:48Z
dc.date.issued2012
dc.identifier.citationAlomar Bermúdez,C.E. (2012). Quality assessment for the evaluation of sample size reduction for continuous in-process data [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/484
dc.descriptionDesign Project Article for the Graduate Programs at Polytechnic University of Puerto Ricoen_US
dc.description.abstractStatistical tests look for evidence that you can reject the null hypothesis and conclude that your program had an effect. With any statistical test, however, there is always the possibility that you will find a difference between groups when one does not actually exist. Power refers to the probability that your test will find a statistically significant difference when such a difference actually exists. In other words, power is the probability that you will reject the null hypothesis when you should. Performing power analysis and sample size estimation is an important aspect of experimental design, because without these calculations, sample size may be too high or too low. If sample size is too low, the experiment will lack the precision to provide reliable answers to the questions that are being investigated. If sample size is too large, time and resources will be wasted, with minimal gain. The purpose of Power Analysis and Sample Size Estimation is to provide you with the statistical methods to answer your questions quickly, easily, and accurately. Key Terms: Continuous In-Process Data, Process Sampling, Sample Power Analysis,Sample Sizeen_US
dc.language.isoen_USen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.ispartofManufacturing Engineering;
dc.relation.ispartofseriesWinter-2012;
dc.relation.haspartSan Juanen_US
dc.subject.lcshStatistical power analysisen_US
dc.subject.lcshSampling (Statistics)en_US
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Research
dc.titleQuality Assessment for the Evaluation of Sample Size Reduction for Continuous In-Process Dataen_US
dc.typeArticleen_US
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US


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