Concept and Interpretation of Confidence Interval: How to Overcome Limitations of P-value Article Swipe

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YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.52206/jsmc.2024.14.1.886

Knowing the estimate (mean or proportion) for the whole population is not feasible due to a lack of resources. Therefore, we rely on a sample estimate to draw conclusions about the population. The range of values in which the true population estimate lies is called a confidence interval (CI) which is more reliable than single estimate. For descriptive studies, CIs should be reported along with the point estimate (mean or proportion). For effect sizes in inferential statistics (mean difference, odds ratio, risk ratio, etc.), the p-value should be supplemented with a CI for strength and direction of the association.

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Interpretation (philosophy) Value (mathematics) Confidence interval Epistemology Statistics Mathematics Computer science Philosophy Programming language

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Language: en
Landing Page: https://doi.org/10.52206/jsmc.2024.14.1.886
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DOI: https://doi.org/10.52206/jsmc.2024.14.1.886

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Title: Concept and Interpretation of Confidence Interval: How to Overcome Limitations of P-value

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Language: en

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Publication year: 2024

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Publication date: 2024-03-08

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Authors: Umar Hussain, Farhad Ali

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Landing page: https://doi.org/10.52206/jsmc.2024.14.1.886

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Concepts: Interpretation (philosophy), Value (mathematics), Confidence interval, Epistemology, Statistics, Mathematics, Computer science, Philosophy, Programming language

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