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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| Format: | Article |
| Language: | English |
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Agroprint Timisoara
2023-10-01
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| Series: | Scientific Papers Animal Science and Biotechnologies |
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| Online Access: | https://spasb.ro/index.php/public_html/article/view/1290 |
| Summary: | 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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| ISSN: | 1841-9364 2344-4576 |