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Do we reject/accept the null Ho??????????

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if the P value is significant, do we accept or reject the null?

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  1. In statistical hypothesis testing, the p-value is the probability of obtaining a value of the test statistic at least as extreme as the one that was actually observed, given that the null hypothesis is true. The fact that p-values are based on this assumption is crucial to their correct interpretation.

    Generally, one rejects the null hypothesis if the p-value is smaller than or equal to the significance level, often represented by the Greek letter alpha. In other words, if your p-value is smaller (or equal) than your desired level of significance, you would reject the null hypothesis (e.g., alpha = 0.05 and p-value = 0.04).

    The link below contains a coin-flipping example that interprets the p-Value.

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