Data normalization helps analysts compare measurements that may use different scales, units or starting conditions. In a casino https://dragonlinkaustralia.com/ environment, a game can generate results from datasets where the average stake, observation count or starting balance differs substantially. If one sample contains 5,000 observations with an average stake of €1 and another contains 5,000 observations averaging €5, directly comparing total financial results may produce a distorted impression. Normalizing the figures allows researchers to place the observations on a more comparable basis.
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