p-value
A statistical metric used to measure the significance of results, representing the probability of observing the current or more extreme data under the assumption that the null hypothesis holds. It is typically used with a significance threshold of 0.05, but is prone to misinterpretation and misuse.
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A p-value is a metric in statistics used to measure the significance of a result, representing the probability of observing the current or more extreme data given that the null hypothesis holds.
Anytime-valid methods based on test martingales are designed to avoid the type I error inflation caused by traditional p-values in scenarios of multiple testing or continuous monitoring.
If the p-value is less than 0.05, it is generally considered that there is sufficient evidence to reject the null hypothesis and conclude that a significant linear relationship exists between X and Y.
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A p-value is a metric in statistics used to measure the significance of a result, representing the probability of observing the current or more extreme data given that the null hypothesis holds.
50%UnverifiedAnytime-valid methods based on test martingales are designed to avoid the type I error inflation caused by traditional p-values in scenarios of multiple testing or continuous monitoring.
50%UnverifiedIf the p-value is less than 0.05, it is generally considered that there is sufficient evidence to reject the null hypothesis and conclude that a significant linear relationship exists between X and Y.
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