Prob A Flashcards

1
Q

What is a sample space?

A

The set whose elements each correspond to a possible outcome of the experiment, so that every possible outcome is included

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2
Q

What is an event?

A

A property that the outcome of the experiment may or may not have. We can identity the elements of the sample space with the relevant property

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3
Q

Give the notation for

i) A and B
ii) A or B
iii) not A
iv) A is a subset of B

A
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4
Q

What is a probability measure

A
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5
Q

What does it mean for A and B to be mutually disjoint?

A

The intersection of A and B is empty

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6
Q

Prove that P(A) + P(Ac) = 1

A
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7
Q

Prove the relationship between P(A) and P(B) if A is a subset of B

A
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8
Q

Prove that P(AuB) = P(A) + P(B) - P(AnB)

A
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9
Q

State the Inclusion-Exclusion formula for events not necessarily disjoint

A
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10
Q

What is the total number of permutations of {1,2,….,n}

A

n!

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11
Q

Lemma; Let S be a set having n elements and let 0<=k<=n. The number of subsets of S having exactly k elements is nCk = n!/(k! x (n-k!))

A
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12
Q

State the Fundamental Multiplication rule

A

Suppose a procedure has k steps with n1 ways of performing the 1st step, n2 ways of performing the second step, up to nk ways of performing the kth step. Then the total number of different ways is n1 x n2 x …. x nk

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13
Q

Suppose a population of size N=K1 + K2 contains K1 individuals of type 1 and K2 individuals of type 2. If sample of size n is drawn with replacement from this population it contains k1 individuals of type 1 and k2 individuals of type 2. Whats the probability

A
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14
Q

Suppose a population of size N=K1 + K2 contains K1 individuals of type 1 and K2 individuals of type 2. If sample of size n is drawn without replacement from this population it contains k1 individuals of type 1 and k2 individuals of type 2. Whats the probability

A
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15
Q

Give the conditional probability of P(B | A) and state the important conditions

A
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16
Q

State and Prove the multiplication rule for conditional probabilities

A
17
Q

When are events a partition of a subspace

A
18
Q

State the law of total probability

A
19
Q

Prove the total law of probability

A
20
Q

State Bayes Formula

A
21
Q

Prove Bayes formula

A
22
Q

When are events E1,E2,…..,En mutually independent

A

When for all choices of 1 to n

P(E1 n E2 n …. n En) = P(E1) x P(E2) x … x P(En)

23
Q

When does a random variable X have the binomial distribution with parameters n and p

A
24
Q

Prove the binomial probability distribution

A
25
Q

State the law of large numbers for the Binomial distribution

A
26
Q

State the binomial to poisson distribution theorem

A
27
Q

Prove the conversion of binomial to poission

A
28
Q

What is the most likely outcome of a experiment with n repeats and probability of success p

A

np

29
Q

State the Theorem for the gaussian approximation to the normal distribution

A
30
Q
A