{"id":250448,"date":"2024-07-01T12:53:13","date_gmt":"2024-07-01T12:53:13","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/?p=250448"},"modified":"2024-07-01T12:53:13","modified_gmt":"2024-07-01T12:53:13","slug":"what-p-value-determines-statistical-significance-2","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/what-p-value-determines-statistical-significance-2\/","title":{"rendered":"What P value determines statistical significance?"},"content":{"rendered":"

What P value determines statistical significance?<\/p>\n

The P value is a statistical measure used to determine the probability of obtaining a result as extreme or more extreme than the one observed if the null hypothesis is true. In hypothesis testing, a P value is compared to a predetermined significance level to make a decision about whether to reject or fail to reject the null hypothesis. The most commonly used significance level is 0.05 (or a 5% chance of observing the data if the null hypothesis is true). Therefore, a **P value of less than 0.05** is generally considered statistically significant. This means that there is only a 5% or less chance of obtaining the observed result if the null hypothesis is true, leading to the rejection of the null hypothesis in favor of the alternative hypothesis.<\/p>\n

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