[LEC4] Flashcards

1
Q

A subset of the set of all possible outcomes of a probabilistic experiment.

In probability studies, __________ are represented by uppercase

A

Event

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1
Q

Results of an observation or experiment, or the descriptor of some potential outcome

A

Event

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2
Q

The measure of the likelihood of an event happening.

A

Probability

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3
Q

Measures the certainty of an event.

A

Probability

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4
Q

The _____________ of two events is read as _____________. This means that both events must be met for it to count as one value.

A

Intersection (A B)
Both A and B

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5
Q

The _________ of two events is read as “_______________ or _________”

A

Union
Either A or B or both A and B

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6
Q

The ____________ of an event is read as “_______’. This means that the non-fullfillment or the converse/opposite event of A is the trigger for this operation.

A

Complement

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7
Q

the area within the rectangle box represent all the outcomes called the

A

sample space

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8
Q

Represents all the outcomes that could possible occurs

A

Sample space

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9
Q

Sample Space Formula

A

P(S) = 1

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10
Q

An events that can never occur and has a probability of zero, whereareas most events have probabilities between the value 0 and 1.

A

Null Event

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11
Q

When two events are mutuall exclusive, the additive rule of probability states that either of the two events will occur is equal is to the sum of the probabilities of the individual events.

A

Additive Rule of Probability

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12
Q

A type of probability wherein the probability of one event is directly influenced by the probability of another event.

A

Probability

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13
Q

This is expressed as P (A|B) wherein the probability of an event A is influenced by the existence of event B.

A

Conditional Probability

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14
Q
A
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14
Q

Fundamental rule relating marginal probabilities to conditional probabilities. It expresses the total probability of an outcome which can be realized via several distinct events.

A

Total Probability

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14
Q

The __________________ states that the probability that two events A and B will occur is equal to the probability of B multiplied by the coniditional probability of A given that B has already occurred.

A

Muliplicative Rule of Probability

15
Q

A set of events that all amount to the sum 1 - meaning that there are no other possible outcomes and it must fall under one catergories.

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