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All models, therefore, need to quantify the uncertainty inherent in their predictions. Yet, finance textbooks, programs, and professionals continue to use the normal distribution in their asset valuation and risk models because of its simplicity and analytical tractability. Pad a dim so we broadcast fed probs against CC interest rates.
The latter is associated primarily with “watching” the data for interesting patterns, while precursor analytics is associated primarily with training the business systems to quickly identify those specific patterns and events that could be associated with high-risk events, thus requiring timely attention, intervention, and remediation.
The conference call, which will be broadcast live via the Internet, and a copy of this press release along with supplemental slides used during the call, can be accessed on CDW’s website at investor.cdw.com. You should evaluate all forward-looking statements made in this release in the context of these risks and uncertainties.
With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Drinking tea increases diabetes by 50%, and baldness raises the cardiovascular disease risk up to 70%! So, can statistics be manipulated? They sure can. Do numbers lie?
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