Although the probabilities obtained will be halved, a one-tailed test is not generally recommended and, in most cases, statistical analysis should be two-tailed (which tests for both psi-hitting and psi-missing).
#Statistical calculations for trials trial
A one-tailed test does not examine the possibility that the non-expected outcome may result. A statistical analysis plan is employed to enhance the transparency of the clinical trial and reduce the risks of outcome reporting bias and data-driven results. The fragility index is calculated by changing the status of a patient from a non-event to an event until statistical significance is lost (p>0.05). for some not so common methods for more complex cancer trial designs, including simple formulae to implement in R to calculate sample sizes.
If there is a strong prior expectation of either psi-hitting or psi-missing, the statistical analysis may be carried out on the basis of a one-tailed test. Tool to calculate the fragility index of a study, which is one metric of how robust the results of a study are. Depending on the direction of the results, the analysis reports the results for either psi-hitting or psi-missing, as appropriate. If this probability is low (generally 0.05 or less), the results are said to be statistically significant and are therefore possible evidence of psi, or paranormal ability. The z test calculates the probability ( p) of obtaining results which differ from the MCE to the extent observed. If 50 trials are completed, MCE = 50 x 2.5 = 125. For example, if there are 4 targets in the judging set, the average rank = (1+2+3+4)/4 = 2.5. The latter is known as the Mean Chance Expectation (MCE) and is equal to (number of trials) x (average of the ranks in the judging set). This compares the obtained Sum of Ranks with the Sum of Ranks expected by chance. The statistical procedure used is the z-test performed on the Sum of Ranks (sometimes called the "Sum of Ranks Test").
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