It means that the motion of every molecule of a fluid is random and the location of all the molecules comprising the fluid, after a period of time, is a random event or a probability phenomenon.
If it is possible to assume normality, simply convert the desired score to a z-score, and look up the probability for that.
From a probability perspective fair means equal probability.
Read the introduction to probability and probability measures at StatLect.com
It means multiply, Probaility of A and B means probability of A multiplied by probability of B.
The mean of a binomial probability distribution can be determined by multiplying the sample size times the probability of success.
The probability level for an outcome is the probability that the outcome was at least as extreme as the one that was observed.
The significance of the mean of a probability distribution is that it is the most probably thing to happen. The mean is the average of a set of values. If it is the average of a probability distribution, it is the most probable part.
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Variance" is a mesaure of the dispersion of the probability distribution of a random variable. Consider two random variables with the same mean (same aver-age value). If one of them has a distribution with greater variance, then, roughly speaking, the probability that the variable will take on a value far from the mean is greater.
Dependent probability is the probability of an event which changes according to the outcome of some other event.
Apparent diffusion coefficient (ADC) is a measure of water diffusion in all directions, while mean diffusivity is a measure of the average diffusion within a voxel. ADC includes the effects of both isotropic and anisotropic diffusion, whereas mean diffusivity reflects the overall diffusion within the voxel. In DTI, ADC is calculated as the average of the three eigenvalues, which correspond to the three principal diffusion directions and contribute to mean diffusivity.
It is the probability of an event calculated from repeated trials of an experiment.