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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