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Decision TREES bpp text book example

Forums › Ask ACCA Tutor Forums › Ask the Tutor ACCA PM Exams › Decision TREES bpp text book example

  • This topic has 1 reply, 2 voices, and was last updated 8 years ago by AvatarJohn Moffat.
Viewing 2 posts - 1 through 2 (of 2 total)
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    Posts
  • February 28, 2018 at 9:59 am #439354
    Avatarsheri12
    Member
    • Topics: 19
    • Replies: 15
    • ☆

    Suppose that a company want to make a decision between two mutually exclusive options, Option A and
    Option B. the profits from each option will depend on the state of the economy in the next 12 months.
    Current estimates are that there is a 60% probability that the economy will be weak and a 40% probability
    that the economy will be strong.
    The profitability with each decision option would be as follows.
    Option A Option B
    Weak economy + $50,000 + $20,000
    Strong economy + $60,000 + $100,000
    Research could be carried out into the state of the economy in the next 12 months. It has been estimated
    that if the true state of the economy will be weak, there is an 80% probability that the research would
    predict this correctly. It is also estimated that if the true state of the economy will be strong, there is an
    90% probability that the research would predict this correctly.

    Whats the value of Perfect Information?

    kindly help

    February 28, 2018 at 3:23 pm #439397
    AvatarJohn Moffat
    Keymaster
    • Topics: 57
    • Replies: 54845
    • ☆☆☆☆☆

    You must have an answer in the BPP Study Text, and you cannot expect me to produce a full answer here – especially since it is impossible for me to draw a decision tree here!!

    Have you watched my lecture working through the second example in the decision making under uncertainty chapter of the free lecture notes? It is a very similar example of using a decision tree to calculate the value of imperfect information.

    Obviously in the exam you could not be asked this question because you can no longer be required to draw a decision tree (although you are expected to know what they are and be able to deal with one if one is already drawn for you in the exam question).

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