Probability theory and random variables Flashcards

1
Q

sample space

A

of a random experiment= set S of all possible outcomes

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2
Q

elementary outcome

A

• Each single outcome (how many results)

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3
Q

event

A

set of one or more elementary outcome for a random experiment
o E.g. when you take every dot higher than 4 on a dice you get 3 (4 5 6)

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4
Q

Disjoint

A

when two or more events have no EO s in common (if P(A and B) and P(A|B) are 0)

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5
Q

Probability model

A

probabilities are assigned to events

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6
Q

probability

A

of an event A in a random experiment P(A)

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7
Q

Relative frequency

A

how often does a special event occurs if you keep doing the experiment for a large (not limited number)

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8
Q

Unconditional probability P(F)

A

the probability that the random drawn student is female

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9
Q

Conditional probability (F|D)

A

probability of the randomly drawn student being female, given that the student is Dutch (the given one is always the total you divide by

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10
Q

Complement rule

A

G^c = event “the randomly drawn student is not german” 1-P(A)

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11
Q

Rule of addition

A

What is the probability of randomly drawn student is dutch or Belgian
P(A or B) = P(A) + P(B) - P(A and B)

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12
Q

rule of multiplication

A

Probability of randomly drawn student being dutch and female P (D and F)
P(A and B) = P(A) × P(B | A) = P(B) × P(A | B)

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13
Q

Statistical independent

A

P(A|B) = P(B)

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14
Q

Probability distribution

A

relative freq. of each of the possible values of X if you were to repeat random experiment an infinite number of times

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15
Q

P(A)

A

number of A divided by the total

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16
Q

P(A|B)

A

number of A within subset B divided by number of B

17
Q

P(A and B)

A
number of (A and B) divided by the total
o	When you have no contingency table you can use product rule: P(A) * P(B|A)
18
Q

P(A or B)

A

use additional rule: P(A) + P(B) – P(A and B)