{"id":262731,"date":"2024-07-03T15:32:34","date_gmt":"2024-07-03T15:32:34","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/?p=262731"},"modified":"2024-07-03T15:32:34","modified_gmt":"2024-07-03T15:32:34","slug":"what-does-a-p-value-of-0-1-mean","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/what-does-a-p-value-of-0-1-mean\/","title":{"rendered":"What does a p-value of 0.1 mean?"},"content":{"rendered":"

When conducting statistical hypothesis tests, researchers often use a p-value to determine the significance of their results. The p-value measures the strength of evidence against the null hypothesis, which is the hypothesis that there is no relationship between the variables being tested.<\/p>\n

In simple terms, a p-value indicates the probability of obtaining the observed data, or data more extreme, if the null hypothesis were true. A p-value closer to zero suggests strong evidence against the null hypothesis, while a p-value closer to one indicates weak evidence against it.<\/p>\n

However, when the p-value is exactly 0.1, what does that mean? To answer this question directly:<\/p>\n

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