Z tables, or standard normal distribution tables, are Six Sigma tools used to find the probability of a statistic occurring within a standard normal distribution. They provide the cumulative probability associated with each z-score, which represents the number of standard deviations a data point is from the mean. Z tables are essential for calculating probabilities, making inferences, and conducting hypothesis tests. By comparing sample data to the standard normal distribution, organizations can determine the likelihood of various outcomes, aiding in decision-making and process improvements. They are fundamental for statistical analysis and quality control in Six Sigma projects.
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