data mngmt ch 6 Flashcards

1
Q

what are some fun characteristic of probability distribution

A

only has one trial, expected value is always 1

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2
Q

probability distribution expected value equation

A

E(x) = Σ x*p(x)

x = outcome #
p(x) = probability of x

Σ = the sum of

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3
Q

what is an example of probability distribution

A

what is the probability distribution of the sum when you roll two dice

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4
Q

what is an expample of the probability distribution expectation value

A

what is the expected value of rolling a sum of [] when rolling two dice

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5
Q

what is uniform probability and its characteristics

A

all the probabilities for each trial have the same percent, expected value will always equal 1

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6
Q

what is the equation for uniform probability

A

p(x) = 1/n

n = # of outcomes

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7
Q

what is an example of uniform probability distribution

A

what is the probability distribution for the outcomes of rolling a single die

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8
Q

what is binomial probability distribution about

A

to find the # of successes that occures during n trials

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9
Q

what are the characteristics of binomial probability distrobution

A

two possible outcomes, independent trials

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10
Q

what is the binomial probability distribution formula

A

p(x) = nCr * p^x * q^n-x

q = failure rate
n = # of trials
x = # of successful trials
p = success rate

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11
Q

what is an example of a binomial probability distribution question

A

determine the probability distribution for getting a 4 when you roll a dice 10 times

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12
Q

what is the expected value formula for binomial probability distribution

A

E(x) = np

p = success rate
n = # of trials

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13
Q

what is an example of a question for the expected value of binomial probability distribution

A

what is the expected value of getting three 4s when you roll a dice 10 times

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14
Q

what is geometric probability supposed to find

A

find the probability of the first success that occures after X amount of trials

-> waiting time is the number of trials before a success

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15
Q

what are characteristics of geometric probability distribution

A

two possible outcomes, independent trials

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16
Q

what is the formula for geometric probability

A

p(x = x) = q^x * p

p = success rate
q = failure rate
n = # of trials
x = n - 1

the best way to find out what value is p and q is to ask yourself what will END the trial - that variable will be “p” because youre failing until you get it right

17
Q

what is the best way to find out what variables are q and p for geometric probability distribution

A

ask yourself what will END the trial - that variable will be “p” because youre failing until you get it right

18
Q

what is an example of geometric probability distribution

A

find the probability of rolling a 4 on the third try

19
Q

what is the expected value formula for geometric probability distribution

A

E(x) = q/p

failure rate / success rate

20
Q

what is an example of the expected value for geometric probability distribution

A

what is the expected waiting time before you roll a 4

21
Q

what are characteristics of hypergeometric distribution

A

two possible outcomes, dependent trials

would use hypergeometric for choose questions

22
Q

what is the formula for hypergeometric distribution

A

p(X = x) = (aCx * n-aCr-x) / nCr

n = population size
a = # of successful outcomes in n
n - a = # of fail outcomes
X = # of successful outcomes
r = # of trials that are allowed

23
Q

what is the expected value formula for hypergeometric distribution

A

E(X) = ra/n

r = dependent trials
n = total
a = success