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Reducing Type I and Type II Errors in Hypothesis Testing

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In the realm of hypothesis testing, striving for statistical significance plays a crucial role. However, researchers must be aware of the ever-present risk of engaging in both Type I and Type II errors. A Type I error https://datawitzz.com/difference-between-type-1-and-type-2-errors/
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