Probability Flashcards

1
Q

Experiment definition

A

Repeatable process that gives rise to a number of different outcomes

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2
Q

Event definition

A

Collection of outcomes

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3
Q

Sample space definition

A

The set of all possible outcomes

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4
Q

What does A’N’B mean

A

The intersection - A and B

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5
Q

What does A’U’B mean

A

The union - A or B or both

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6
Q

What does n(A) mean?

A

The number of outcomes in the event A

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7
Q

What does P(A) mean?

A

The probability of A occurring

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8
Q

Independent events definition

A

When one event has no effect on the other

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9
Q

Equation used to prove if two events are independent

A

P (A’N’B) = P(A) x P(B)

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10
Q

Mutually exclusive events definition

A

When events have no common outcomes

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11
Q

Equation used to prove if two events are mutually exclusive

A

P(A’N’B) = 0 (ie no cross over in Venn diagram)
P(A’U’B) = P(A) + P(B)

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12
Q

When are tree diagrams used?

A

To show the outcome of two or more events happening in succession
IE picking counters out of a bag one after each other

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13
Q

What is conditional probability?

A

When the probability of an event depends on the outcome of the previous event

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14
Q

Notation of conditional probability

A

P(B|A)
Probability of B given A has already occurred

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15
Q

Formula for conditional probability

A

P(B|A) = P(B’N’A) / P(A)

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16
Q

Addition formula

A

P(AUB) = P(A) + P(B) - P(A’N’B)

17
Q

Multiplication rule for conditional probability

A

P(A’N’B) = P(B|A) x P(A)

18
Q

Random variable definition

A

A variable whose value depends on the outcome of an event

19
Q

Discrete variable

A

A variable that can only take a possible set of outcomes
IE an integer, not continuous

20
Q

Probability distribution definition

A

the probability of every outcome in the sample space
Displayed as a table or a probability mass function

21
Q

Discrete uniform distribution definition

A

A distribution where the probabilities of each outcome is the same
IE a fair dice, all number are 1/6th likely to come up