What is the Probability Bob Receives a Job Offer in LA from a Large Firm?

In summary, a probability tree problem is a type of mathematical problem that involves determining the likelihood of a series of events occurring and typically involves creating a diagram with branches and outcomes. To solve a probability tree problem, one must identify all possible outcomes, create a probability tree diagram, and use basic probability rules and formulas. These problems have real-life applications in fields like finance, engineering, and medicine. Common mistakes to avoid when solving them include not properly identifying all possible outcomes and not using the correct formulas and rules.
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Bob would like to go to either consulting or investment banking and will receive exactly one job offer in one of the industries mentioned. He thinks the probability of getting job in consulting to be 0.6 and investment baning to 0.4. He is interviewing with a small firm and a large firm for both investment banking and consulting. If he is offered an investment job, he believes the probability of getting offer from large firm is 0.8. If he is offered a consulting job he believes the probability of getting an offer from a large firm is 0.9

Bob knows that he will be in New York or Los Angeles. If he gets investment banking from small firm he will in up in New York with probability of 0.7; if he gets offer from a large investment bank he will definitely go to New York. If he is offered a consulting job he believes it will be equally likely to be in New York or Los Angeles regardless of firm.

1) Given that Bob is offered an investment banking job in New York, he assigns a probability of p of receiving an offer from the small firm. What is p?

To solve p I multiplied 0.4*.2*0.7= .056

2) Given that Bob is offered a job from a large firm, he assigns a probability q, of receiving a job offer in LA. What is q?

Unsure of what to do to solve for q

I know if he did Invest - Large - LA the probability would be 0
If he did consult - large - LA it would be 0.6*0.9*.5 = .27, but I don't think the question is asking for this.
 
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To solve q, we need to consider the different scenarios in which Bob could receive a job offer from a large firm. These are:

1. Bob gets offered an investment banking job from a large firm and ends up in New York (with probability 0.4*0.8 = 0.32)
2. Bob gets offered an investment banking job from a large firm and ends up in Los Angeles (with probability 0.4*0.2 = 0.08)
3. Bob gets offered a consulting job from a large firm and ends up in New York (with probability 0.6*0.9 = 0.54)
4. Bob gets offered a consulting job from a large firm and ends up in Los Angeles (with probability 0.6*0.1 = 0.06)

Since we know that Bob has been offered a job from a large firm, the total probability of these scenarios must add up to 1. Therefore, we can set up the following equation:

0.32q + 0.08(1-q) + 0.54q + 0.06(1-q) = 1

Solving for q, we get q = 0.75. Therefore, Bob assigns a probability of 0.75 of receiving a job offer in Los Angeles if he is offered a job from a large firm.
 

Related to What is the Probability Bob Receives a Job Offer in LA from a Large Firm?

What is a probability tree problem?

A probability tree problem is a type of mathematical problem that involves determining the likelihood of a series of events occurring. It typically involves creating a diagram with branches and outcomes to visually represent the different possibilities and their probabilities.

How do I solve a probability tree problem?

To solve a probability tree problem, you first need to identify all the possible outcomes and their associated probabilities. Then, you can create a probability tree diagram to visualize the different paths and their probabilities. Finally, you can use basic probability rules and formulas to calculate the overall likelihood of a specific outcome or set of outcomes.

What are the basic principles of probability used in tree problems?

The basic principles of probability used in tree problems include the multiplication rule, which states that the probability of two independent events occurring together is equal to the product of their individual probabilities, and the addition rule, which states that the probability of either of two mutually exclusive events occurring is equal to the sum of their individual probabilities.

What are some real-life applications of probability tree problems?

Probability tree problems have many real-life applications, such as predicting the likelihood of a disease given certain risk factors, determining the chances of winning a game of chance, or estimating the probability of a stock market crash based on different economic factors. They are also commonly used in decision-making processes and risk analysis in fields like finance, engineering, and medicine.

Are there any common mistakes to avoid when solving a probability tree problem?

Some common mistakes to avoid when solving a probability tree problem include not properly identifying all possible outcomes, not accounting for all possible paths and their probabilities, and not using the correct formulas and rules. It is important to carefully read the problem and understand what is being asked before attempting to solve it, and to double-check all calculations and assumptions.

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