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Hypothesis testing helps us make decisions about the validity of a claim or hypothesis based on statistical evidence. By comparing observed data against a null hypothesis, we can determine whether to reject or fail to reject that hypothesis. This process aids in making informed conclusions about relationships or differences within data, guiding decisions in fields like science, business, and healthcare. Ultimately, it allows us to quantify uncertainty and assess the likelihood of outcomes based on sample data.

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1mo ago

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A successfully tested hypothesis may evolve into a theory or scientific law, depending on the body of evidence supporting it. It will gain more acceptance and credibility within the scientific community as more testing and validation occur.


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