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Updated: May 6, 2026

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Rosemary A Audu1, Rosemary N Okoye2, Chika K Onwuamah1

  • 1Human Virology Laboratory, Nigerian Institute of Medical Research, Lagos, Nigeria.

African journal of laboratory medicine
|March 5, 2024
PubMed
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这项研究评估了尼日利亚.

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Accuracy and Errors in Hypothesis Testing01:13

Accuracy and Errors in Hypothesis Testing

Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
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