Chapter 5 Flashcards

1
Q

what letter represents a probability set?

A

S

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2
Q

what is the law of large numbers?

A

when an experiment is performed many, many times, the relative frequency of an event tends to become closer to the actual probability

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3
Q

what is the union of two events?

A

the set of elements in either A or B
the probability that A, B, or both will occur

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4
Q

what is the union of two events denoted as?

A

AUB

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5
Q

what is the intersection of two events?

A

the set of elements in both A and B
the probability that both events will occur

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6
Q

what is the intersection of two events denoted as?

A

A∩B

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7
Q

what is a complement to an event?

A

the probability of the event not occurring

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8
Q

how can you find the complement to an event?

A

1 - the probability

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9
Q

what is the complement to an event denoted as?

A

P(A’) or P(A^c)

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10
Q

what is an “and” probability?

A

an intersection probability

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11
Q

how do you calculate an “and” probability?

A

P(A) x P(B) = P(A∩B)
P(A|B) x P(B) = P(A∩B)

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12
Q

what is an “or” probability?

A

a union probability

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13
Q

how do you calculate an “or” probability?

A

P(A) + P(B) - P(A∩B) = P(AUB)

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14
Q

t/f: for mutually exclusive events, P(A∩B) = 0 (explain why if this is false)

A

true (the two events cannot occur simultaneously, therefore there is no intersection)

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15
Q

what are independent events?

A

events where knowing that one event occurs does not change the probability of the other one occurring

example: flipping a coin

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16
Q

how do you test for independence?

A

P(A|B) = P(A)
this shows that B had no effect

P(B|A) = P(B)
this shows that A had no effect

P(A∩B) = P(A) x P(B)

17
Q

what are conditional events?

A

the probability of one event occurring given that the other event occurs

18
Q

how do you find the probability of a conditional event?

A

P(A|B) = P(A∩B) / P(B)

19
Q

t/f: disjointed is not another way to say mutually exclusive

A

false: it is another way to say mutually exclusive

20
Q

what are mutually exclusive events?

A

events that have no outcomes in common and can never occur simultaneously

example: flipping both heads and tails at the same time

21
Q

what are the first branches of a tree diagram called?

A

unconditional probabilities

22
Q

what are the second branches of a tree diagram called?

A

conditional probabilities

23
Q

what are the third branches of a tree diagram called?

A

joint probabilities

24
Q

t/f: the joint probabilities of a tree diagram must add up to 1

A

true

25
Q

how do you find a joint probability?

A

multiply the unconditional and conditional probabilities

26
Q

if you had a tree diagram about gender and owning/not owning a dog, how would you find the probability of owning a dog?

A

add the joint probabilities of owning a dog

27
Q

how are “given” probabilities calculated using a tree diagram?

A

usually, it is a joint probability divided by an unconditional probability, but this can be reversed

28
Q

how should you start with venn diagrams?

A

if possible, fill in the middle/intersection part (the “and” probability) first