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You are planning to perform analytical procedures related to inventory fraud, and wish to develop a nonfraud hypothesis ( H O ) expectation using industry

You are planning to perform analytical procedures related to inventory fraud, and wish to develop a nonfraud hypothesis (HO) expectation using industry data. Specifically, you are interested in the inventory turnover ratio, measured as [COGS / Ending Inventory]. You are investigating the Scarlet Company.
(a) What would the Fraud alternative hypothesis (Ha) be if you are checking for a fictitious inventory fraud?
(b) Following are COGS and Ending Inventory (EI) balances for several companies in the industry. Develop the HO expectation, making sure to deal appropriately with any pparent data inconsistencies or outliers.
\table[[Company,COGS,EI],[1,15.233,10.028],[2,22.388,7.985],[3,2553.127,551.082],[4,4.603,0],[5,460.114,312.83],[6,3.086,1.235],[7,2887.055,383.917],[8,21.138,5.529],[9,33.303,18.684],[10,1.064,0.522],[11,11.573,3.088],[12,8.338,0],[13,7.45,0.288],[14,135.178,87.7],[15,0.642,0.086],[16,1.47,2.205],[17,1.988,1.315],[18,60.019,7.589],[19,2.892,0]]
(c) Assume the Scarlet Company's inventory turnover is 1.50. Is this more consistent with HO or Ha? Explain. (use both z-score and percentile rank tests)
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