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The Board of Directors of Butler(B) recommended that their company should follow Panoply(P)'s practice to shorten their shift by one hour in order to improve the save record in B since P reported 30 less on the job accidents and a recent government study list fatigue and sleep deprivation as significant contributor of on the job accidents. However, in order to decide whether the facts the Board mentioned are enough to support their suggestion, we need answers to questions about the relative employment size of the two companies, the design of the government study and living habits of employees in B. For example, if B operates in light industries like cloth making, while the study only collects samples from heavy industries like steel making, the results of the study may have little relevance for B, since the basic drive of on the job accidents can be very different between light industries and heavy industries. In order to improve safety record, the Board of B may need to consult studies that focus on the exact industry as B are currently involved.
Firstly, we need to ask what is the relative employment size of the two companies, without answers to this question, the simple facts that P reported 30% less on the job accidents can even not support the claim that P has better safety record than B. For example, B has reported 13 on the job accidents while there were 10 on the job accidents in P, thus B reported 30% more on the job accidents. However, if B has 1000 employees while P has only 20 employees, this numbers actually indicate that half of the employees in P were injured while only 1.3% of employees in B have accidents thus actually B has much better safety record than P, as a result, it makes little sense to follow P's practice.
In additions, we need to know details about the design of the study in order to decide whether the results of the study have relevance for B. For example, maybe B mainly operate in light industries like cloth making while the sample only collect data from heavy industries like steel making. If this were the case, the study can have little relevance for B, since the basic drive for on the job accidents can be very different between light industries and heavy industries. To improve the safety record, Board of B needs to consult studies that focus more on the exact industries that B currently involved.
The third question we need answers before evaluation of the suggestion is about the living habits of employees in B. In making the suggestion of shortening the shift, the board made the implicit assumption that those workers would use those extra to get more sleep, however, this is not necessarily the case. As we know people all have their own living habits and this is not going to change suddenly. If, for example, if most employees used to go to local bars after work and stay till midnight, even if the board shorten the shift by one hour, it is not likely that those workers would go to bed early and have enough sleep, they may well remain their habits of stay in local bars until mid night. Without those detail information about the living habit s of employees in B, it is hard to know whether the suggestion is likely to have the predicted effects.
In sum, in order to evaluate the argument, we need to answer various questions about the relative employment size of the two companies, the design of the government studies and the living habits of B's employees. Before answering those questions, it is hard to tell whether the argument is valid or not.
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