Probability Theory Flashcards

1
Q

Define sample space

A

The set S of all possible outcomes of a random experiment is called the sample
space for the experiment

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2
Q

Define event

A

An event is any collection of possible outcomes of an experiment, that is, any
subset of A ⊆ S.

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3
Q

How do you find the power set of a set of sets? - set of all subsets

A

The total number of subsets for a set of ‘n’ elements is given by 2^n

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4
Q

What does pairwise disjoint mean

A

Intersections are zero and their sum is the whole sample space

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5
Q

When does the law of total probability apply

A

When a partition is formed

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6
Q

Define independent events

A

Two events A and B are said statistically independent iff

P(A ∩ B) = P(A)P(B)

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7
Q

What is the interpretation of independent events

A

Two events defined on the same sample space are independent if
one does not affect the other and viceversa

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8
Q

Define a random variable

A

A random variable is a function from a sample space S into the real numbers

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9
Q

What are the properties of a properly defined cdf

A

Limits are 0 and 1 for infinity and minus infinity
It is a nondecreasing function
F(x) is right continuous, for every x0 the limit down to x0 is F(x0)

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10
Q

Express theorem about pdf and if its valid or not

A

A Function is a pdf iff it takes non-negative values and it integrates to 1.

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11
Q

Define iid RVs

A

Two random variables are identically distributed if their cdfs coincide.

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12
Q

What does linearity of expectation mean

A

Expectation of the sum is the sum of the expectation

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13
Q

What is all RV’s first non central moment

A

Expectation of X

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14
Q

What is an RVs second central moment

A

Variance

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15
Q

What are the two uses of an MGF

A

If rvs have the same mgf they are identically distributed

The nth non central moment can be found from the mgf

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