Conditional probabilitys Flashcards

1
Q

What is the multipication rule

A

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

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2
Q

What is the adition rule

A

Pr(A orB) = Pr(A) +Pr(B) - Pr(A and B)

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3
Q

Define the difference between mutually exculsive and independant events

A

Independant events is when one event has no effect on a second event

Mutually exlusive events CANNOT possibly both happen as they have no intersection

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4
Q

What is an intersection between two groups

A

When there is a cross over between two sample spaces,

eg
Being both right handed and female

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5
Q

Define what complementary ‘ness’ is

A

A is the probability of an event happening
A- (complement) is the probability A will not happen, 1-A=A-

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6
Q

How can we check if events are independant

A

Pr (B) = Pr(B|A)

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7
Q

What are the two rules of Tree diagrams

A

Multiply along branches - Multiplication rule
Add down branches - Unition rule
Dependant events will be conditional on the previous branch

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8
Q

What is a diagnostic tests purpouse

A

To determine how accurate a test determined by two factors is
- often whether you have a disease and did the test return postive

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9
Q

What is the definition of specificity and sensitivity

A = having a condition
B = a postive test

Assume:

A

Specificity: (-B|-A)
- ensure you dont get postive given not having condition
Sensitivity: Pr (B|A)

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10
Q

Define postive prediction and negative prediction probabilitys

Assume:
A = having a condition
B = a postive test

A

postive prediction: Pr(A|B)
negative prediction: Pr(-A|-B)

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11
Q

How to calculate the probability of B Pr(B)

A

Pr(A and B) + Pr(A- and B)

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12
Q

How to calculate Pr(A|B)

A

Pr(A and B)/Pr(B)

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