AP Statistics Notes Chapter 6 - Discrete, Binomial, and Geometric Random Variables

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probability of success

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22 Terms

1

probability of success

The ________- call it p- remains the same for each observation.

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2

probability distribution of X

The ________ lists the values and their probabilities.

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3

variable of interest

The ________ is the number of trials required to obtain the first success.

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4

pk The probabilities pi must satisfy two requirements

1

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5

6.3

The Binomial Distributions A binomial probability distribution occurs when the following requirements are met

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6

Each observation falls into one of just two categories

call them "success" or "failure."

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7

The procedure has a fixed number of trials

we call this value n. 3

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8

The observations must be independent

result of one does not affect another

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9

The probability of success

call it p -remains the same for each observation

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10

Notation for binomial probability distribution n denotes the number of fixed trials k denotes the number of successes in the n trials p denotes the probability of success 1

p denotes the probability of failure

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11

1

binomcdf(n, p, k)

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12

P(X  3) = 1

binomcdf(4, .8, 3)

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13

1

binomcdf(n, p, k -1)

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14

For n = 4, p = .8,   (4)(.8)  3.2 , which means we expect 3.2 makes out of 4 shots, on average 6.3

The Geometric Distributions A geometric probability distribution occurs when the following requirements are met

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15

Each observation falls into one of just two categories

call them "success" or "failure."

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16

The observations must be independent

result of one does not affect another

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17

The probability of success

call it p -remains the same for each observation

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18

As such, the geometric is also called a "waiting-time" distribution Notation for geometric probability distribution n denotes the number of trials required to obtain the first success p denotes the probability of success 1

p denotes the probability of failure

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19

1

geometcdf(p, n)

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20

P(X  3) = 1

geometcdf(.8, 3)

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21

1

geometcdf(p, n-1)

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22

P(X  3)= 1

geometcdf( .8, 2) Mean (expected value) of a Geometric Random Variable

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