The 1-Sample Sign Test is a non-parametric statistical test used in Six Sigma to determine if the median of a single sample differs significantly from a specified value. It is particularly useful when the data does not meet the assumptions of normality required for parametric tests. The test involves counting the number of observations above and below the specified value, and then using the binomial distribution to evaluate the significance of these counts. The 1-Sample Sign Test helps in making data-driven decisions and validating process improvements by providing insights into the central tendency of the data relative to a target value.
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