{"id":233859,"date":"2024-05-07T10:36:50","date_gmt":"2024-05-07T10:36:50","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/?p=233859"},"modified":"2024-05-07T10:36:50","modified_gmt":"2024-05-07T10:36:50","slug":"is-the-alpha-level-the-same-as-the-p-value","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/is-the-alpha-level-the-same-as-the-p-value\/","title":{"rendered":"Is the alpha level the same as the p value?"},"content":{"rendered":"

When discussing statistical significance in research studies, two terms that often come up are the alpha level and the p value. While they are related concepts, they are not the same thing. It is important to understand the distinction between the two in order to properly interpret the results of a study.<\/p>\n

The alpha level, also known as the significance level, is a predetermined threshold set by researchers to determine the likelihood of rejecting the null hypothesis when it is actually true. Common alpha levels include 0.05 and 0.01, indicating a 5% and 1% chance, respectively, of making a Type I error (incorrectly rejecting the null hypothesis).<\/p>\n

**Is the alpha level the same as the p value? No, the alpha level is not the same as the p value.**<\/p>\n

The p value, on the other hand, is a measure of the strength of the evidence against the null hypothesis. It indicates the probability of obtaining results as extreme as the observed results, assuming that the null hypothesis is true. A p value of less than the alpha level chosen indicates that the results are statistically significant.<\/p>\n

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