Thank you for the opportunity to help you with your question! the solution is as such:
According to me that isn't necessarily the case each time; there are plenty of cases where
statistics play a major role, specially quality assurance in almost
One unnecessarily attractive reason is that 80% of the business people in the world have no idea what that actually means. 80% of the rest think they do, but end up misinterpreting it like anything.
Many are simply
dismissive of what they see as "geek science," and the geeks speaking
geek speak don't help. [I'm reminded of the saying that "a million
economists laid end to end would never reach a conclusion.]
But the real reason may be that businessmen have to make decisions in the real world with less than perfect information, whereas statistics folks tend to stick with the extremes of "very probable" or "can't really say." or both at many times.
So for example, if we have to decide whether to make blue products or pink products, it may be difficult to say to a small level of significance which the public might really prefer based on sampling. "Within the margin of error" doesn't help make decisions. We need to have some idea which is more likely, even if isn't gospel.
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