Reference no: EM132245313

The Mint Free software company released a beta version of a software package. It expects a large number of requests for help from the users dealing with problems from bugs in the software. These problems include crashing, lock up, and incompatibility errors. The company has established a help desk to handle telephone requests. The company trained two groups of software support specialists. Group 1 has just been hired and trained; meanwhile, specialists in Group 2 are senior technicians capable of solving problems with 100% certainty. However, their salaries are much higher than the newly trained specialists. The company pays specialists based on the number of the problems they attempt to solve. Group 1 salaries are $25 per problem and Group 2 salaries are $40 per problem. The software company must decide which specialist to assign a problem in order to minimize the cost of support. If they assign a problem to a Group 1 specialist and he is unable to solve the problem, they reassign it to a senior specialist. In this case both specialists are paid. This costs the company $65 per problem. To address this issue, they developed an automatic system to predict the chance a Group 1 specialist can solve a problem. A crashing problem was just received, and the prediction software forecasts a 75% chance of success for a Group 1 specialist. Draw a decision tree for this problem.Based on the decision tree, what kind of specialist should be assigned the problem. Another problem, a compatibility error, was received and the prediction software forecasts a 55% chance of success for a Group 1 specialist. Draw a decision tree for this decision. Based on the decision tree, what kind of specialist should be assigned the problem and determine the conditions under which it should assign a problem to a Group 1 specialist. using PrecisionTree to find this probability.