Probability Flashcards

1
Q

What units should you never use when dealing with probabilities?

A

Percentages

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2
Q

What is an experiment?

A

A repeatable process that gives rise to a number of outcomes

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3
Q

What is an event?

A

A collection of outcomes

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4
Q

What is a sample space?

A

A set of possible outcomes

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5
Q

What do ‘n’ and ‘u’ mean in reference to Venn Diagrams?

A

n - intersection (point where 2 rings overlap)
u - union (All data within rings including overlap)

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6
Q

What do A’, n(A) and p(A) mean?

A

A’ - All data points excluding A
n(A) - The number of outcomes in the event A
p(A) - The probability that event A occurs

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7
Q

What are independent events?

A

Events for which one event has no effect on the other

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8
Q

What are mutually exclusive events?

A

Events which have no outcomes in common
(events which cannot occur at the same time)

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9
Q

What is the formula for independent events?

A

P(A n B) = P(A) x P(B) as the outcome of each does not change due to the other

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10
Q

What is the formula for mutually exclusive events?

A

P(A n B) = 0 (cannot occur at the same time)
and
P(A u B) = P(A) + P(B) (No ring overlap so separate venn diagrams)

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11
Q

When should you use tree diagrams?

A

To show the probability of two or more outcomes happening in succession

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12
Q

What is conditional probability?

A

A situation in which the outcome of one event can change the probability of another occurring.

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13
Q

What is meant by P(B|A)?

A

The probability of B occurring given A has already occurred

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14
Q

What is the multiplication formula for conditional probability?

A

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

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15
Q

What can be said of independent events by using conditional probability?

A

P(A|B) = P(A|B’) = P(A)
They all refer to the probability of A occurring as B cannot occur at the same time as A

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16
Q

What is the addition formula for probabilities?

A

P(A u B) = P(A) + P(B) - P(A n B) IN FORMULA BOOKLET

17
Q

Explain the conditional probability formula

A

P(B|A) = P(B n A)/P(A)
We want the probability of B occurring assuming A has already happened
Therefore, take the probability of both events happening at once and divide by the probability of A occurring as it has already happened which leaves the probability of B assuming A has happened.