comparables

May 13th, 2015
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A,A triangular distribution can be used in the above scenario to determine the probability; it is a continuous probability distribution with a probability density function shaped like a triangle. It is defined by three values: the minimum value a, the maximum value b, and the peak value c.

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comparablesAnswer,A,A triangular distribution can be used in the above scenario to determine the probability; it is a continuous probability distribution with a probability density function shaped like a triangle. It is defined by three values: the minimum value a, the maximum value b, and the peak value c. It is evident from the current data against which the assumption can be taken that minimum time in which this project can be completed is 800 hours therefore that is under the maximum efficiency of the company, the maximum time the company can take to complete this project is 1550 hours that is under the least efficiency of the company and the estimated average time taken to complete this project is 1110hours under average efficiency, this suggests the fact that this project cannot be completed in time less than 800 hours which leads to a calculated guess of zero probability for time taken less than 800 hours for completion of project.B,Under the triangular distribution the triangle can be set by plotting the hours taken compared to the probability of each, which would represent that probability of hours taken under 800 is zero and probability of hours taken over 1550 is zero and probability of most likely time would be high which would lead to the formation of the triangle. The area of the triangle over or under specific point of hours would represent the probability. The Area of the triangle is determined by Area = Base x Height. Whereas height is determined

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