Chapter 3 (Discrete Probability Distributions) Flashcards

1
Q

What are the rules for a Binomial Distribution?

A

1) Fixed # of trials (n)
2) Each trial results in success or failure
3) Each trial is independent
4) The probability (p) is fixed (aka the same) for each trial
5) X (the r.v.) counts the number of successes.

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2
Q

What kind of random variable is used in the binomial distribution?

A

Discrete random variable!

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3
Q

What is the pmf for a binomial distribution?

A

P(X=x) = (“n”choose “x”)p^x(1-p)^{n-x}

(“n”choose”x”) - how many ways we can observe x successes out of n trials.
p^x = number of successes we will observe
(1-p)^{n-x} = number of failures we will observe.

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4
Q

How is a binomial distribution notated?

A

X~Binomial(n,p)
n = # of trials
p = probability

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5
Q

What are the rules for a Poisson Distribution?

A

1) There is an amount of time
2) X (the r.v.) counts the times something occurs in that amount of time.
3) We consider the mean (mu) of X.

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6
Q

What kind of random variable is used in the Poisson Distribution?

A

Discrete random variable!

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7
Q

What is the pmf for a Poisson distribution?

A

P(X=x) = (mu^x)(e^-mu)
————————–
x!

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8
Q

How is a Poisson Distribution notated?

A

X~Poisson(myu)

myu = the mean!

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9
Q

What are the rules for a Geometric Distribution?

A

1) X counts the # of trials until the 1st success.
2) Every trial will result in success of failure.
3) The probability is the same for each trial.
4) All trials are independent.

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10
Q

What kind of random variable is used in the Geometric Distribution?

A

Discrete Random Variable!

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11
Q

What is the pmf for a Geometric Distribution?

A

P(X=x) = [(1-p)^{x-1}] * p

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12
Q

What is E(X) for a geometric distribution?

A

E(X) = 1/p

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13
Q

What is the Var(X) for a geometric distribution?

A

Var(X) = (1-p)/p^2

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14
Q

What is E(X) for a Poisson Distribution?

A

E(X) = mu

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15
Q

What is Var(X) for a Poisson Distribution?

A

Var(X) = mu

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16
Q

What is Var(X) for a Binomial Distribution?

A

Var(X) = np(1-p)

17
Q

What does “iid” mean?

A

Independent and identically distributed (cane from same population (distribution)).

18
Q

What is E(X) for a Binomial Distribution?

A

E(X) = np