Unit 5 Flashcards

1
Q

Generates outcomes that are determined purely by chance

A

Random Process

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2
Q

A number between 0 and 1 that described the proportion of times the outcome would occur in a very long series of trials

A

Probability

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3
Q

If we observe more and more trials of any random process, the proportion of times that a specific outcome occurs approaches its probability

A

Law of Large Numbers

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4
Q

Imitates a random process in such a way that simulated outcomes are consistent with real-world outcomes

A

Simulation

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5
Q

A description of some random process that consists of two parts: A list of all possible outcomes and the probability of each outcome

A

Probability Model

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6
Q

The list of all possible outcomes

A

Sample Space

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7
Q

Any collection of outcomes from some random process

A

Event

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8
Q

Says that P(A^c) = 1 - P(A)

A

Compliment Rule

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9
Q

A^c, where P(A^c) = 1 - P(A)

A

Compliment

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10
Q

Two events that have no outcomes in common and so can never occur together

A

Mutually Exclusive (Disjoint)

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11
Q

P(A or B) = P(A) + P(B)

A

Addition Rule for Mutually Exclusive Events

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12
Q

P(A or B) = P(A) + P(B) - P(A and B)

A

General Addition Rule

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13
Q

Consists of one or more circles surrounded by a rectangle. Each circle represents an event. The region inside the rectangle represents the sample space of the random process

A

Venn Diagram

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14
Q

The event “A and B”

A

Intersection

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15
Q

The event “A or B”

A

Union

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16
Q

The probability that one event happens given that another event is known to have happened

A

Conditional Probability

17
Q

Knowing whether or not one event has occurred does not change the probability that the other event will happen

A

Independent Events

18
Q

P(A and B) = P(A) * P(B|A)

A

General Multiplication Rule

19
Q

Shows the sample space of a random process involving multiple stages. The probability of each outcome is shown on the corresponding branch of the tree. All probabilities after the first stage are conditional probabilities

A

Tree Diagram

20
Q

P(A and B) = P(A) * P(B)

A

Multiplication Rule for Independent Events