{"id":217168,"date":"2023-12-29T02:39:59","date_gmt":"2023-12-29T02:39:59","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/what-if-your-p-value-is-in-the-negatives\/"},"modified":"2023-12-29T02:39:59","modified_gmt":"2023-12-29T02:39:59","slug":"what-if-your-p-value-is-in-the-negatives","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/what-if-your-p-value-is-in-the-negatives\/","title":{"rendered":"What if your p-value is in the negatives?"},"content":{"rendered":"

**What if your p-value is in the negatives?**<\/p>\n

In statistical hypothesis testing, the p-value is a measure of the evidence against the null hypothesis. It helps researchers determine whether to reject or fail to reject the null hypothesis. Usually, p-values range from 0 to 1, representing the probability of obtaining the observed data or more extreme results under the assumption that the null hypothesis is true. However, it is not possible for p-values to be negative. If you encounter a negative p-value, there may be a mistake in your calculations or interpretation. Let’s explore this issue further and address some related frequently asked questions (FAQs).<\/p>\n

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