A z-value, also known as a z-score, represents the number of standard deviations a data point is from the mean of a distribution. It helps in understanding the relative position of a value within a data set, making it essential for various statistical analyses, including hypothesis testing and determining sample sizes. By translating raw scores into a standard normal distribution, z-values enable researchers to make comparisons across different distributions and determine probabilities associated with certain outcomes.
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