if the p value of the test statistic id equal to 1.36, then the p-value is
It would help if you proofread your questions before you posted them.
P typically stand for probability, which cannot be greater than 1.
If the p-value of a test statistic is equal to 1.36, then the p-value is not valid. A p-value is a probability value that is used in hypothesis testing to determine the significance of a test statistic. It measures the strength of evidence against the null hypothesis.
The p-value ranges between 0 and 1. A p-value of 1.36 is outside this range and therefore is not a valid p-value. In hypothesis testing, p-values less than or equal to the significance level (usually denoted as α) are considered statistically significant. Common significance levels include 0.05 and 0.01.
To calculate the p-value for a test statistic, you would need to know the specific test being conducted and the corresponding test distribution. Then, you would calculate the probability of observing a test statistic as extreme as or more extreme than the observed value, assuming the null hypothesis is true.
In summary, a p-value of 1.36 is not meaningful in hypothesis testing and does not provide information about the significance of a test statistic.