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Parameter dependence (PI) postulates that in the EPR/B experiment the probability of the later, distant measurement outcome depends on the setting of the apparatus of the nearby, earlier measurement.
Since all five-letter words had equal probability of being selected during the experiment, the probability that a given word was the target did not need to be scaled by its lexical frequency.
When data from all such probes in a particular experiment are identified as correlating in an array experiment, the probability of the finding being real is increased.
As in the previous experiment, the probability of the outcome (recovery) was high (.80) regardless of whether or not the cause was presented.
For each experiment, the probability distributions of all reported foci are then combined into a modeled activation (MA) map (Turkeltaub et al. 2012).
Across the experiment, the probability that a stressed syllable was followed by an unstressed syllable was high due to the initially stressed target words with their stressed-unstressed pattern (see Table 1A).
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In our experiment, the probabilities of the three operations, Op_a, Op_b and Op_c, were set to 0.2, 0.5 and 0.3, respectively.
Due to the Gaussian distribution produced by the Monte-Carlo experiments, the probability could only be above with decreasing probabilities.
In the experiments the probability mapping was performed by a one-layer neural network that implements linear regression.
In experiments, the probability that peak of left and right images have same position was over 96.1%.
For all other locations in the two conditions of the three experiments, the probability of reporting the start of a perceptual transition was less than two standard deviations from the simulated average (or z<2, see Appendix 1).
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