Probability Trees and Conditional Expectations
50 questions available
Key Points
- Expected Value (E(X)) = Sum of [P(Xi) * Xi]
- Variance = Sum of [P(Xi) * (Xi - E(X))^2]
- Standard Deviation is the square root of Variance
- Variance and Standard Deviation are always non-negative
Key Points
- Total Probability Rule combines conditional probabilities to find an unconditional probability
- P(A) = P(A|S)*P(S) + P(A|Sc)*P(Sc)
- Probability trees visualize joint and conditional probabilities
- Joint Probability = Conditional Probability * Probability of Condition
Key Points
- Used to update probabilities based on new information
- Posterior Probability = (Likelihood * Prior) / Total Probability of Evidence
- Distinguishes between P(A|B) and P(B|A)
- Key in solving inverse probability problems
Questions
What is the expected value of a random variable defined as?
View answer and explanationGiven a random variable X with outcomes 10 percent, 20 percent, and 30 percent, and probabilities 0.2, 0.5, and 0.3 respectively, what is the expected value?
View answer and explanationWhich of the following statements about variance is correct?
View answer and explanationIf the variance of a random variable is 25, what is the standard deviation?
View answer and explanationCalculate the variance for a project with the following returns: 10 percent (Prob 0.5) and 20 percent (Prob 0.5).
View answer and explanationIn the context of the Total Probability Rule, what is P(S^c) if P(S) is 0.70?
View answer and explanationUsing the Total Probability Rule: P(Pass|Study) = 80 percent, P(Pass|Not Study) = 40 percent, P(Study) = 60 percent. What is the total probability of passing?
View answer and explanationWhat does a node in a probability tree represent?
View answer and explanationIf P(A) = 0.5 and P(B|A) = 0.4, what is the joint probability P(AB)?
View answer and explanationBayes' Theorem helps us update the probability of a hypothesis based on what?
View answer and explanationIn Bayes' Theorem, the updated probability is also known as the:
View answer and explanationYou estimate the probability of EPS being 3 dollars at 25 percent and EPS being 4 dollars at 75 percent. What is the expected EPS?
View answer and explanationWhich calculator key is used to clear work in the STAT function of the TI BA II Plus?
View answer and explanationAssume a scenario with a 60 percent probability of declining interest rates. If rates decline, there is a 75 percent chance EPS is 4 dollars. What is the joint probability of rates declining AND EPS being 4 dollars?
View answer and explanationIf the Expected Value is 15 and one observed outcome is 20 with a probability of 0.2, what is the squared deviation weighted by probability for this specific outcome?
View answer and explanationA probability tree has two initial branches: A (30 percent) and B (70 percent). If branch A leads to outcome X with 50 percent probability, what is P(AX)?
View answer and explanationIn the formula for Bayes' Theorem, the numerator contains:
View answer and explanationGiven: P(Pass) = 68 percent. P(Pass|Study) = 80 percent. P(Study) = 70 percent. Calculate P(Study|Pass) using Bayes' Theorem.
View answer and explanationWhich of the following is true regarding standard deviation?
View answer and explanationIf the probability of studying is 70 percent, what is the probability of the complement (not studying)?
View answer and explanationIn a probability tree, if one branch has a probability of 40 percent, and the other branch represents the only other possibility, what is the probability of the second branch?
View answer and explanationCalculate the expected return: Stock A (Return 5 percent, Prob 0.2), Stock B (Return 10 percent, Prob 0.3), Stock C (Return 20 percent, Prob 0.4), Stock D (Return 30 percent, Prob 0.1).
View answer and explanationIn the context of the FinTree Fruit 2 example, if earnings benefit from a declining interest rate, identifying the 'state' of the interest rate environment is an example of:
View answer and explanationWhich of the following values represents a valid variance?
View answer and explanationGiven P(A) = 0.4, P(B|A) = 0.5, and P(B|A^c) = 0.2, what is P(B)?
View answer and explanationIf we calculate a conditional mean, we are calculating the expected value:
View answer and explanationWhen calculating variance using probabilities, the deviations are squared to:
View answer and explanationIf the Unconditional Probability of Passing is 0.68 and the Joint Probability of Passing AND Studying is 0.56, what is the Probability of Studying given Passing?
View answer and explanationA 'Prior Probability' in Bayes' Theorem refers to:
View answer and explanationIf a stock has a 50 percent chance of returning 10 percent and a 50 percent chance of returning -10 percent, what is the expected return?
View answer and explanationIn the same stock scenario (50 percent chance of +10 percent, 50 percent chance of -10 percent), what is the variance?
View answer and explanationProbability trees are particularly useful for visualizing:
View answer and explanationIn a probability tree, the sum of probabilities of all final outcomes (endpoints) must equal:
View answer and explanationWhat is the standard deviation of a constant return (e.g., a guaranteed 5 percent)?
View answer and explanationGiven P(A) = 0.2 and P(B) = 0.3, if A and B are independent, what is P(A and B)?
View answer and explanationIf P(Info|Event) = 0.9, P(Event) = 0.1, and P(Info) = 0.2, what is P(Event|Info)?
View answer and explanationA standard deviation of 7.75 corresponds to a variance of approximately:
View answer and explanationConsider a probability tree where the first node splits into 'Study' (70 percent) and 'Not Study' (30 percent). If 'Not Study' branches into 'Pass' (40 percent) and 'Fail' (60 percent), what is the joint probability of 'Not Study and Fail'?
View answer and explanationWhat is the primary difference between a conditional probability and a joint probability?
View answer and explanationWhen using the Total Probability Rule to find P(Pass), we sum:
View answer and explanationGiven returns 5, 10, 20, 30 with probabilities 0.2, 0.3, 0.4, 0.1. Mean is 15. The squared deviation for return 10 is:
View answer and explanationIf E(X) = 15.40 percent and E(Y) = 10.30 percent, these values represent:
View answer and explanationIn a Bayes' scenario, if the likelihood of evidence given the event is 100 percent (certainty), the posterior probability depends on:
View answer and explanationCalculate: P(A)=0.5, P(B|A)=0.2. What is P(AB)?
View answer and explanationIf a probability tree has 3 branches coming from a node, with probabilities 0.2, 0.3, and X. What is X?
View answer and explanationGiven Variance = 76. What is the approximate Standard Deviation?
View answer and explanationIn the HDFC Bank example, the 'Declining Interest Rate' scenario has a probability of 60 percent. This is best described as:
View answer and explanationWhich measure cannot be negative?
View answer and explanationIf P(A) = 0.5, P(B|A) = 0.5. What is P(AB)?
View answer and explanationIf you calculated a Posterior Probability of 1.2, what have you done wrong?
View answer and explanation