Develop a decision tree model

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Reference no: EM131406724

You are the project manager for an offering manufactured by Beta Technologies. This new offering will allow customer to use credit cards for off-track betting through the use of ATM kiosks. The project has an expense estimate of $2.5M and must be completed within the next 6 months in order to go-to-market before any competitors. If completion takes longer than 6 months (30 percent probability), Beta Technologies stands to lose $10M in market share. If completed within 6 months (70 percent probability), Beta Technologies has the opportunity to earn an additional $25M in revenue. Getting the offering to market in 6 months virtually ensures Beta Technologies receives revenue of $20M for confirmed orders already in hand.

Based on your risk assessment, there is a 30% chance of significant changes in the project requirements. If the requirements do change, an additional development expense of $2.5M will be incurred.

Develop a Decision Tree Model to answer the following. Please show your work.

1. What is the expected value of the project if no risk events occur?

2. What is the expected value of the project?

3. What is the expected value of the project if all risk events occur in a best-case scenario?

4. What is the expected value of the project if all risk events occur in a worst-case scenario?

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We have to first develop the decision tree model and then based on the scenarios calculate the expected value for the project.I have provided the decision tree model and also given the answers to all four questions which was asked by student in detail.

Reference no: EM131406724

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len1406724

2/27/2017 5:21:28 AM

Critical Elements Exemplary (100%) Proficient (90%) Expected Value Entry clearly describes the expected value of the project with specific relevant examples Entry describes expected value of the project with examples Calculations Effectively works with numerical data and solves quantitative problems with accurate calculations Works with numerical data and solves most quantitative problems accurately Synthesis Entry shows excellent evidence of synthesis of the module content and exhibits careful consideration of the topic Entry shows good application of the module content and demonstrates that the student has read the module content Writing Entry is free of errors in organization and grammar Errors of organization and grammar are marginal and rarely interrupt the flow

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