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Okyena Nti University is trying to decide whether or not to advertise its new one-year MSC degree programme. The number of students starting the programme is dependent on economic conditions. Required: Demonstrate, using a decision tree, whether the programme should be advertised.

Business/Management

ScanSolve AI Answer

Step-by-step solution

3 steps

To determine whether the programme should be advertised, we will calculate the expected profit for both scenarios: "Do not advertise" and "Advertise".

  1. Calculate Expected Profit if the programme is NOT advertised.

    • If economic conditions are poor (60% chance), 40 students are attracted.
      • Profit for 40 students = GH¢115,000.
      • Expected profit (poor conditions) = 0.60×115,000=69,0000.60 \times 115,000 = 69,000.
    • If economic conditions are good (40% chance), 20 students are attracted.
      • Profit for 20 students = GH¢15,000.
      • Expected profit (good conditions) = 0.40×15,000=6,0000.40 \times 15,000 = 6,000.

    The total expected profit if the programme is not advertised is:

    Expected Profit (No Advertising)=69,000+6,000=GH¢75,000\text{Expected Profit (No Advertising)} = 69,000 + 6,000 = \text{GH¢}75,000
  2. Calculate Expected Profit if the programme IS advertised.

    The cost of advertising is GH¢15,000. This cost must be deducted from the profit for each outcome.

    • Scenario A: Economic conditions are poor (60% chance).

      • There is a 65% chance advertising stimulates demand, increasing students to 50.
        • Profit for 50 students = GH¢165,000.
        • Net profit = 165,000−15,000=150,000165,000 - 15,000 = 150,000.
        • Probability = 0.60×0.65=0.390.60 \times 0.65 = 0.39.
        • Expected profit = 0.39×150,000=58,5000.39 \times 150,000 = 58,500.
      • There is a 35% chance advertising does not stimulate demand, students remain at 40.
        • Profit for 40 students = GH¢115,000.
        • Net profit = 115,000−15,000=100,000115,000 - 15,000 = 100,000.
        • Probability = 0.60×0.35=0.210.60 \times 0.35 = 0.21.
        • Expected profit = 0.21×100,000=21,0000.21 \times 100,000 = 21,000.
    • Scenario B: Economic conditions are good (40% chance).

      • There is a 25% chance advertising stimulates demand, increasing students to 25.
        • Profit for 25 students = GH¢40,000.
        • Net profit = 40,000−15,000=25,00040,000 - 15,000 = 25,000.
        • Probability = 0.40×0.25=0.100.40 \times 0.25 = 0.10.
        • Expected profit = 0.10×25,000=2,5000.10 \times 25,000 = 2,500.
      • There is a 75% chance advertising does not stimulate demand, students remain at 20.
        • Profit for 20 students = GH¢15,000.
        • Net profit = 15,000−15,000=015,000 - 15,000 = 0.
        • Probability = 0.40×0.75=0.300.40 \times 0.75 = 0.30.
        • Expected profit = 0.30×0=00.30 \times 0 = 0.

    The total expected profit if the programme is advertised is:

    Expected Profit (Advertising)=58,500+21,000+2,500+0=GH¢82,000\text{Expected Profit (Advertising)} = 58,500 + 21,000 + 2,500 + 0 = \text{GH¢}82,000
  3. Compare the expected profits and make a decision.

    • Expected Profit (No Advertising) = GH¢75,000
    • Expected Profit (Advertising) = GH¢82,000

    Since the expected profit from advertising (GH¢82,000) is higher than not advertising (GH¢75,000), the university should advertise the programme.

    The final answer is The university should advertise the programme, as it yields a higher expected profit of GH¢82,000.\boxed{\text{The university should advertise the programme, as it yields a higher expected profit of GH¢82,000.}}

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