¶ … statistical data being the driver of what choice is chosen and why. The concepts that lead to the decision, the inclusion of proper probability concepts, the outcome of the decision with statistical data to back it up, the tradeoffs between accuracy and precision, and the decision itself are to be discussed in this report. The business decision that will be discussed will be whether the Hostess empire should have been shut down given the events and labor union efforts that were going on at the time.
Decision Made & What Led to It
One concept that had to be assessed during the Hostess drama was two-fold with both dimensions of the decision being very hard. The first part was how expensive it was per day to have the unions on strike and the probability that the strike would be stopped before it was fiscally too late to recover from the bakeries and other parts of the business being dormant. No doubt, one of those dimensions was feeding the other as time drug on, turning the whole situation into a vicious cycle. Even when Hostess laid down the law, one of the unions involved balked and said they were not relenting and shut down Hostess for good (O'Toole, 2012).
In looking at that shut-down decision, it was clear that Hostess was facing a no-win decision. If the strike dragged on, this would have bankrupt Hostess eventually and they'd be in much the same situation, only worse. If they gave into the demands of the union and paid them the salary and benefits, Hostess' unstable financial state would have probably led to bankruptcy in that instance as well. This report does not suggest that the union is solely to blame for the situation, but it was certainly a factor in the Hostess decision (Feintzeig, 2012).
In the end, Hostess' decision became less about ongoing viability of the business but more a matter of whether the union would cooperate or not and when it became clear that no good outcome...
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097 United States 0.109 0.093808 0.036112 0.068 Utah 0.1071 0.1401 0.035696 0.073 Vermont 0.1326 0.0988 0.040851 0.114 Virgin Islands NA NA NA Virginia 0.1048 0.0829 0.080009 0.092 Washington 0.1229 0.0669 0.027831 0.068 West Virginia 0.1293 0.0774 0.036499 0.055 Wisconsin 0.0954 0.0357 0.032367 0.097 Wyoming 0.1251 0.1453 0.053867 0.075 Notes All spending includes state and federal expenditures. Growth figures reflect increases in benefit payments and disproportionate share hospital payments; growth figures do not include administrative costs, accounting adjustments, or costs for the U.S. Territories. Definitions Federal Fiscal Year: Unless otherwise noted, years preceded by "FY" on statehealthfacts.org refer to the Federal Fiscal Year, which runs from October 1 through September 30. for example, FY 2009 refers to the period
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