Here is the synopsis of our sample research paper on How Can CoffeeTime "Borrow Information" From Adjacent Cities Or Other Countries To Employ Bayesian Logic?. Have the paper e-mailed to you 24/7/365.
Essay / Research Paper Abstract
4 pages in length. CoffeeTime's operators can "borrow information" from adjacent cities or other countries to employ Bayesian logic by understanding how the notion accounts for probability inference. In order for Thomas Bayes' theorem to work for CoffeeTime, the operators must determine what it is other coffee houses already achieve in order to be able to establish their respective target markets. No bibliography.
Page Count:
4 pages (~225 words per page)
File: LM1_TLCCoffeTime.rtf
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how the notion accounts for probability inference. In order for Thomas Bayes theorem to work for CoffeeTime, the operators must determine what it is other coffee houses already achieve
in order to be able to establish their respective target markets. * Association - uncovering patterns where one result connects with another * Sequence/path analysis - uncovering patterns
where one result leads to another * Classification - scoping out new patterns * Clustering - uncovering and recording heretofore unknown facts * Forecasting - finding data patterns that may
provide clues to future trends For example, if the city in which CoffeeTime has chosen to open for business has several coffee houses already, an important element to determine
is location and clientele of each one. A coffee house across the street from a university would not have the same customer base as the one located in the
heart of a financial district; however, both of these coffee houses would hold quite a substantial - although quite divergent - target market. Next to consider is how many coffee
houses already exist in these two areas to determine by probability how many more each area can feasible support. If those coffee houses in closer proximity to the university
or financial district turn a better profit than those in more outlying locations (which can even be as little as two blocks away), one can reasonably infer that students and
business people prefer to remain close to campus and the office when going out for coffee. However, what also must be taken into consideration is if there is a
single coffee house whose more distant proximity does not impact its number of customers, then the establishment must offer a better product than its more closely located competitors. Why
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