3 Discrete Probability Distribution Flashcards

1
Q

Discrete Random Variable

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2
Q

Discrete Probability Distribution Ex1

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3
Q

Discrete Probability Distribution Ex2

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4
Q

Discrete Probability Distribution Ex3

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5
Q

Cumulative Distribution Function

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6
Q

Cumulative Discrete Distribution Function ex1

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7
Q

How to find the mean and variance for a discrete random variable

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8
Q

Finding mean and variance of a discrete random variable ex1

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9
Q

Finding mean and variance of a discrete random variable ex2

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10
Q

What happens when you add/subtract a constant vs multiply/divide to a random variable?

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11
Q

Transformation of random variable ex1

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12
Q

What will happen if you add X + Y if both are random variables?

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13
Q

Transformation of random variable ex2

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14
Q

What is a discrete uniform distribution

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Is the simplest of all probability distributions and is where the random variable assumes each of its values with equal probability. A random variable X has a discrete uniform distribution if each of the n values in its range has equal probability

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15
Q

How do you find the mean and variance of a discrete uniform distribution?

A

E(x) = (b+a)/2

Variance = ( (b-a+1)^2 - 1 )/ 12

Where b= max and a = min

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16
Q

Discrete Uniform Distribution Example

17
Q

What is a Bernoulli Random Variable?
Give the following:
1.) probability mass function notation
2.) mean
3.) variance

18
Q

Bernoulli Random Variable ex1:

1.)Give me the probability mass function
2.) expected value
3.)variance

19
Q

What is the Binomial Random Variable?
Find the following:

1.) Assumptions
2.) Probability Mass Function
3.) Expected Value
4.) Variance

20
Q

Binomial Random Variable ex1

21
Q

Binomial Random Variable ex2

22
Q

What is a Geometric Random Variable?
Give me the following:
1.) Assumptions
2.) Expected Value
3.) Variance
4.) probability density function
5.) cumulative density function

23
Q

Geometric Random Variable ex1

24
Q

Geometric Random Variable ex2

25
What is a **Negative Binomial Distribution**? 1.) assumptions 2.) examples of when to use it 3.) expected value 4.) variance 5.) Probability density function
It is the probability of the math success happens on the xth trial. Assumptions: 1.) Binary(success or failure) 2.) Independent( one trial does not effect another) 3.) Number of trials until k success occur( desired # successes determined in advance) 4.) Probability of success is the same for each trial
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Negative Binomial Distribution ex1
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Negative Binomial Distribution ex2
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Negative Binomial Distribution ex3
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What is the **Hypergeometric Distribution**? 1.) assumptions 2.) expected value 3.) variance 4.) probability density function 5.) example when to use it.
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Hypergeometric Distribution ex1
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Hypergeometric Distribution ex2
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Hypergeometric Distribution ex3
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What is the **Poisson Distribution**? 1.) assumptions 2.) expected value 3.) variance 4.) probability density function
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Poisson Distribution ex1
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Poisson Distribution ex2
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Poisson Distribution ex3