Chapter 1 (Probability) Flashcards

1
Q

Probability measures…

A

The likelihood of observing a particular outcome of a random process.

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2
Q

What is the basic formula for probability?

A

P(event) = # outcomes/ # of events in the sample space.

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3
Q

What is sample space?

A

Set consisting of all possible outcomes of a random process.

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4
Q

What is a random variable?

A

A random variable assigns a numeric value to each outcome of an experiment.

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5
Q

What is A’? (A complement)

A

The event consisting of all outcomes in S that are not in A.

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6
Q

Two events are mutually exclusive if…?

A

They have no outcomes in common.

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7
Q

What is conditional probability?

A

The conditional probability of A|B (“A given B”, “A conditional on B”), is the probability that event A occurs given that event B occurs. We write P(A|B).

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8
Q

What is a probability tree?

A

A diagram in which tree “branches” correspond to experimental outcomes.

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9
Q

What does it mean if two events are independent?

A

A is independent of B (or vice versa), if P(A|B) = P(A)

In other words, knowledge about B doesn’t change the probability of A.

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10
Q

The # of parameters is always equal to…

A

The # of populations.

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11
Q

How do you find P(A|B)?

A
P(AintersectB)/P(B),
for P(B) GT 0 (GT = greater than)
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12
Q

What is the P(AintersectB)?

A

P(A|B) x P(B)

Or

P(B|A)xP(A)

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13
Q

What is P(AUB)?

A

P(A) + P(B) - P(AintersectB)

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14
Q

What is a permutation?

A

When you choose k objects from n total objects with order and without replacement.

The situation of
n(n-1)…(n-k+1)

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15
Q

What is a combination?

A

Choosing unordered objects without replacement!

n “choose” k

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16
Q

How is a permutation different from a combination?

A

In a permutation, order matters.

A combination is unordered.

17
Q

How is a permutation similar to a combination?

A

Both include the idea of counting without replacement!

18
Q

What is Bayes’ Rule for P(A|B)?

A

P(B|A)P(A) + P(B|A’)P(A’)