1. A method of analyzing sensory ability data at a central location utilizing a computing device having memory and a processor, the method comprising: receiving data from a remote location, wherein the data is comprised of sensory ability data and demographic data associated with a subject, wherein the sensory ability data is comprised of one or more sensory evaluation metrics that test a subject's sensory ability, perceptual ability, cognitive ability, visual ability and auditory ability; storing the data; identifying, with a processor and memory, a potential evaluation level associated with the subject, wherein the evaluation level is identified, at least in part, utilizing at least a portion of a sports tree function, wherein the sports tree function is comprised of a hierarchical structure that represents potential evaluation levels based on one or more traits of the subject; retrieving peer data associated with the potential evaluation level; and determining the peer data is statistically powerful for use in generating a sensory ability assessment associated with the subject, wherein the peer data is statistically powerful when a predefined sample size threshold or a particular statistical value is achieved to reach to a predefined level of confidence.