Confidence Levels in Statistical Analyses. Analysis of Variances. Case Study.

Applying a statistical test to check statistical assumptions offers a positive or negative response regarding the  veracity of the issued hypothesis. In case of variance analysis it’s necessary to apply a post hoc test to determine differences within the group. Statistical estimation using confidenc...

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Main Author: Ileana Brudiu
Format: Article
Language:English
Published: Agroprint Timisoara 2023-10-01
Series:Scientific Papers Animal Science and Biotechnologies
Subjects:
Online Access:https://spasb.ro/index.php/public_html/article/view/1290
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author Ileana Brudiu
author_facet Ileana Brudiu
author_sort Ileana Brudiu
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description Applying a statistical test to check statistical assumptions offers a positive or negative response regarding the  veracity of the issued hypothesis. In case of variance analysis it’s necessary to apply a post hoc test to determine differences within the group. Statistical estimation using confidence levels provides more information than a statistical test, it shows the high degree of uncertainty resulting from small samples and builds conclusions in terms of "marginally significant" or "almost significant (p being close to 0,05) . The case study shows how the statistical estimation completes the  application form the analysis of variance test and Tukey test.
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spelling doaj.art-68355917e6d44a528721c176c33088062024-04-10T08:10:45ZengAgroprint TimisoaraScientific Papers Animal Science and Biotechnologies1841-93642344-45762023-10-014313583581290Confidence Levels in Statistical Analyses. Analysis of Variances. Case Study.Ileana Brudiu0USAMVB Timisoara, 300645, Calea Aradului 119, ROMANIAApplying a statistical test to check statistical assumptions offers a positive or negative response regarding the  veracity of the issued hypothesis. In case of variance analysis it’s necessary to apply a post hoc test to determine differences within the group. Statistical estimation using confidence levels provides more information than a statistical test, it shows the high degree of uncertainty resulting from small samples and builds conclusions in terms of "marginally significant" or "almost significant (p being close to 0,05) . The case study shows how the statistical estimation completes the  application form the analysis of variance test and Tukey test.https://spasb.ro/index.php/public_html/article/view/1290analysis of variancetukey teststatistical estimationconfidence intervalsgraphic representation
spellingShingle Ileana Brudiu
Confidence Levels in Statistical Analyses. Analysis of Variances. Case Study.
Scientific Papers Animal Science and Biotechnologies
analysis of variance
tukey test
statistical estimation
confidence intervals
graphic representation
title Confidence Levels in Statistical Analyses. Analysis of Variances. Case Study.
title_full Confidence Levels in Statistical Analyses. Analysis of Variances. Case Study.
title_fullStr Confidence Levels in Statistical Analyses. Analysis of Variances. Case Study.
title_full_unstemmed Confidence Levels in Statistical Analyses. Analysis of Variances. Case Study.
title_short Confidence Levels in Statistical Analyses. Analysis of Variances. Case Study.
title_sort confidence levels in statistical analyses analysis of variances case study
topic analysis of variance
tukey test
statistical estimation
confidence intervals
graphic representation
url https://spasb.ro/index.php/public_html/article/view/1290
work_keys_str_mv AT ileanabrudiu confidencelevelsinstatisticalanalysesanalysisofvariancescasestudy