Introduction to Probability · free preview
Independence and Conditional Probabilities as Probabilities
Doing algebra inside the conditioned world, the definition and traps of independence, and conditional independence versus its unconditional twin.
1. Algebra inside the conditioned world
Algebra inside the conditioned world
2. Independence
Independence
3. Working definitions and a classical application
Working definitions and a classical application
4. Spotting independence numerically
P(A) = 0.5, P(B) = 0.4, and P(A and B) = 0.3. Are A and B independent?
5. Dependent coins after evidence
Two fair coins are tossed. Given that exactly one shows heads, what is the status of the events first coin heads and second coin heads?
6. Chain rule for a full house of aces
Cards are drawn one by one without replacement from a shuffled deck. What is the probability the first two cards are both aces? Write it as a fraction in lowest terms and enter the denominator.
7. Pairwise but not mutual
Two fair coins are tossed; A is first coin heads, B is second coin heads, C is the coins match. Compute P(A and B and C). Independence of all three would give 1/8; the true value as a fraction has what numerator?
8. Sensor fusion
A machine is up with probability 0.9. Two conditionally independent sensors each report correctly with probability 0.95. Both read UP. Rounded to two decimals, what is the probability the machine is up? Enter like 1.00.
9. In your own words
In your own words, state the most important definition, theorem or method of this lesson and explain what it says.
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