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dc.rights.licenseAll rights reserveden_US
dc.contributor.advisorGonzález Miranda, Carlos J.
dc.contributor.authorColón Soto, Yazmín
dc.date.accessioned2020-07-15T18:33:35Z
dc.date.available2020-07-15T18:33:35Z
dc.date.issued2017
dc.identifier.citationColón Soto, Y. (2017). Optimal sample size selection for continuous in-process data using a quality assessment [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/403
dc.descriptionDesign Project Article for the Graduate Programs at Polytechnic University of Puerto Ricoen_US
dc.description.abstractIn the statistical test, the evidence which can permit the rejection of the null hypothesis and make a conclusion that the program has an effect is done. There is always a difference in any groups which takes part in the statistical tests. The power of the study normally refers to the probability that the researcher will find the difference which exists between the groups taking part in the statistical tests especially when it exists. It simply means that it is the ability to fail to accept the null hypothesis when it is required so. The performance of the size estimation and the power analysis is very significant in the experimental design since when there is no these computation, the size of the sample may be too low or high. In the case where the sample size is too low, the experiment process will not provide the valid and reliable results to the investigated questions. In the situation where the sample size is too large, the wastage of time and other resources will be manifest with a very smaller gain. Therefore, the main purpose for the size estimation and power analysis is to provide the scientific methods which can be used to give an answer to the questions accurately, quickly and very easily. Key Terms – Continuous In-process Data, Discrete Data, Process Sampling, Sample Power Analysis, Sample Size.en_US
dc.language.isoen_USen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.ispartofManufacturing Engineering;
dc.relation.ispartofseriesFall-2017;
dc.relation.haspartSan Juanen_US
dc.subject.lcshSampling (Statistics)
dc.subject.lcshParticle size determination--Data processing
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Research
dc.titleOptimal Sample Size Selection for Continuous In-Process Data using a Quality Assessmenten_US
dc.typeArticleen_US
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US


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