10 Drill Questions: Bayesian reasoning

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NoteB. Odds and probabilities

Drill 10. 1 There are two outcomes possible: Win or Lose. Your personal opinion is that the relative probabilities of Win and Lose are 15 and 25, respectively.

  1. What’s the odds of Win?
ftk-1-k4ld

2 / 3

15 / 25

25 / 15

15 / (15 + 25)

  1. What’s the odds of Lose?
ftk-2-3823

3 / 2

15 / 25

25 / 15

25 / (15 + 25)

Drill 10. 2 There are only two horses in the race: Valentine and Epitaph. Valentine’s odds are 9 to 6.

  1. What are Epitaph’s odds?
pds-1-dkse
3 to 2       6 to 9       33%       Not enough information is given.      

  1. Which of these is a correct statement of the relative probabilities for Valentine and Epitaph respectively?
pds-2-dkse
6/9 = 2/3 = 0.33       6 and 9       9 and 6       Not enough information is given.      

Drill 10. 3 It may seem strange that mathematics has two different but equivalent ways of quantifying how likely a given outcome is from a random event: absolute probability and odds.

To understand the equivalence, consider the possible outcome A from a random event. Suppose this has absolute probability of \(p\) and odds of \(d\). These two formulas show how to calculate one from the other.

\[\text{absolute probability}\ \ p = \frac{d}{1+d}\ \ \ \ \ \text{and}\ \ \ \ \ \text{odds}\ \ d = \frac{p}{1-p}\]

  1. If the odds of A is 2, what is the absolute probability of A?
pcd-1-cksc
1/2       2/3       2/5       1       none of these      

  1. If the absolute probability of A is 50%, what is the odds of A?
pcd-2-8493
1/2       2/3       2/5       1       none of these      

  1. Which of these ranges expresses the highest and lowest possible values for an absolute probability?
pcd-3-8dms
-1 to 1       0 to 1       0 to \(\infty\)       \(-\infty\) to \(\infty\)      

  1. Which of these ranges expresses the highest and lowest possible values for an odds? (Hint: plug in the ends of the correct range from (3) into the formula for odds.)
pcd-4-983
-1 to 1       0 to 1       0 to \(\infty\)       \(-\infty\) to \(\infty\)