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The Power of t-test with large sample size under the different condition of sample size and significance level between real data, transformed data and data from monte carlo simulation technique.

Global Conference on Business and Social Sciences Proceeding(2020)10.35609/gcbssproceeding.2020.11(108)Source: DataRank Database

The Power of t-test with large sample size under the different condition of sample size and significance level between real data, transformed data and data from monte carlo simulation technique. is a research paper published in Global Conference on Business and Social Sciences Proceeding (2020). On theSindex it has a DataRank of 0.

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Authors (2)

Suwichaya Putuptim,Natcha Mahapoonyanont

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PubMed:42566067 OpenAlex:https://openalex.org/W3113118296

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journalhttps://doi.org/10.35609/gcbssproceeding.2020.11(108)

Fields of Study

Advanced Statistical Modeling TechniquesBig Data and Business IntelligenceAnimalsSpidersFood ChainForestsPredatory BehaviorDNA Barcoding, TaxonomicChinaDiet

MeSH Terms

AnimalsSpidersFood ChainForestsPredatory BehaviorDNA Barcoding, TaxonomicChinaDiet

Keywords

Type I and type II errorsStatistical powerNull hypothesisSample size determinationStatistical significanceMonte Carlo methodStatistical hypothesis testingStatisticsZ-testSample (material)Computer scienceTest (biology)EconometricsMathematicsTest statisticAraneaeDietHunting modeMetabarcodingNetwork

The Power of t-test with large sample size under the different condition of sample size and significance level between real data, transformed data and data from monte carlo simulation technique.

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Authors (2)

Open Access

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