{"id":224175,"date":"2024-03-11T05:51:46","date_gmt":"2024-03-11T05:51:46","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/what-does-it-mean-when-your-p-value-is-zero\/"},"modified":"2024-03-11T05:51:46","modified_gmt":"2024-03-11T05:51:46","slug":"what-does-it-mean-when-your-p-value-is-zero","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/what-does-it-mean-when-your-p-value-is-zero\/","title":{"rendered":"What does it mean when your p-value is zero?"},"content":{"rendered":"

**What does it mean when your p-value is zero?**<\/p>\n

In statistical hypothesis testing, the p-value is a measure of the evidence against a null hypothesis. It tells us the probability of obtaining the observed data, or data more extreme, assuming that the null hypothesis is true. A p-value of zero, or p=0, is a highly significant result that indicates extremely strong evidence against the null hypothesis. Let’s dive deeper into what this means and explore some related FAQs.<\/p>\n

When the p-value is zero, it means that the observed data is unlikely to have occurred by chance alone if the null hypothesis were true. In simpler terms, it implies that there is strong support for the alternative hypothesis\u2014the statement you are testing for\u2014over the null hypothesis, which is typically the opposite of the alternative hypothesis. The smaller the p-value, the stronger the evidence against the null hypothesis, with p=0 being the most compelling evidence possible.<\/p>\n

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