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A Partially Solved PERT Problem Is Detailed in the Table

question 10

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A partially solved PERT problem is detailed in the table below. Times are given in weeks.
 Activity  Preceding  Optimistic  Time  Probable  Time  Pessimistic  Time  Expected  Time  Variance A79141.361BA2280CA812160DA35101.361EB4680FB68100GC,F2340HD2281.000IH68162.778JG,I46142.778KE,J2250.250\begin{array}{|c|c|c|c|c|c|l|}\hline\text { Activity } & \text { Preceding } & \begin{array}{c}\text { Optimistic } \\\text { Time }\end{array} & \begin{array}{c}\text { Probable } \\\text { Time }\end{array} & \begin{array}{c}\text { Pessimistic }\\\text { Time }\end{array} & \begin{array}{c}\text { Expected } \\\text { Time }\end{array} & \text { Variance } \\\hline \mathrm{A} & -- & 7 & 9 & 14 & & 1.361 \\\hline \mathrm{B} & \mathrm{A} & 2 & 2 & 8 & & 0 \\\hline \mathrm{C} & \mathrm{A} & 8 & 12 & 16 & & 0 \\\hline \mathrm{D} & \mathrm{A} & 3 & 5 & 10 & & 1.361 \\\hline \mathrm{E} & \mathrm{B} & 4 & 6 & 8 & & 0 \\\hline \mathrm{F} & \mathrm{B} & 6 & 8 & 10 & & 0 \\\hline \mathrm{G} & \mathrm{C}, \mathrm{F} & 2 & 3 & 4 & & 0 \\\hline \mathrm{H} & \mathrm{D} & 2 & 2 & 8 & & 1.000 \\\hline \mathrm{I} & \mathrm{H} & 6 & 8 & 16 & & 2.778 \\\hline \mathrm{J} & \mathrm{G}, \mathrm{I} & 4 & 6 & 14 & & 2.778 \\\hline \mathrm{K} & \mathrm{E}, \mathrm{J} & 2 & 2 & 5 & & 0.250 \\\hline\end{array}
a. Calculate the expected time for each activity. Enter these values in the appropriate column in the table above.
b. Which activities form the critical path?
c. What is the estimated time of the critical path?
d. What are the project variance and the project standard deviation?
e. What is the probability of completion of the project after week 40?


Definitions:

Fields

Refers to specific areas within a database or software designed to hold a particular piece of data.

Rows Of Data

Individual horizontal lines in a spreadsheet or database table, each containing a single record or set of related data.

INDEX Function

A function in spreadsheet software like Excel that returns the value of an element in a table or array, selected by the row and column number indexes.

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The process of removing applied filters from a data set, returning it to its unfiltered state for a broader view or analysis.

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