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Abstract
Control charts were devised to evaluate offices within the Intel Corporation. These control charts were used to determine whether or not that particular office had too many expense report errors. If so, this would indicate a need to conduct an investigation. Therefore, a set of statistical limits, as provided by the control chart, must be used to detect these occurrences. Several different control charts are discussed with this analysis, with the most emphasis placed on the EWMA control chart. Problems that then arose when the data exhibited autocorrelations were also examined. Control charts under both dependence and independence are examined and applied to the Intel data with examples and conclusions presented.