5.1 basics of probability Flashcards

1
Q

probability experiment

A

one in which we don’t know what any individual outcome will be, but we do know how a long series of repetitions will come out

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2
Q

probability of an event

A

is the proportion of time that the event occurs in the long run

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3
Q

law of large numbers

A

a probability experiment is repeated over and over until that proportion of times that a given event occurs will approach its probability

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4
Q

sample space

A

collection of all the possible outcomes of a probability experiment (ex: toss of a coin:heads and tails; roll of a die: 1,2,3,4,5,6)

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5
Q

an event

A

the collection of outcomes of a sample space (EX: rolling an odd number: 1,3,5, from the sample space 1,2,3,4,5,6)

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6
Q

probability model

A

donated by P, helps specify a probability of each event

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7
Q

probability rules

A

the probability of an event is always between 0 and 1. 1 meaning certain to occur and 0 meaning cannot occur. anything below .5 is unusual

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8
Q

probability with equally likely outcomes

A

P(A)=k/n, A meaning event, =number of outcomes in A/number of outcomes in the sample space

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9
Q

dont reduce fractions

A

in ALEKS they like you to keep the ratio in nonreduced terms

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