FORMULAS TO MEMORIZE PROBABILITY Flashcards

1
Q

some process that occurs with well defined outcomes

A

experiment

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2
Q

a result from a single trial of the experiment

A

outcome

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3
Q

a collection of one or more outcomes

A

event

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4
Q

a collection of all the outcomes of an experiment

A

sample space

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5
Q

“expected” probability based upon knowledge of the situation, such as the number of outcomes

A

theoretical probability

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6
Q

probability “estimate” based upon how often the event occured after collecting data from an experiment in a large number of trials

A

Empirical (experimental) probability

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7
Q

V = or/union
N= and/intersection

A
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8
Q

P(A or B)= P(A) + P(B) - P(A and B)

A

Probability Addition Rule

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9
Q

The two events have no outcomes in common (equal ZERO)
P (A and B) must be equal to 0
P (A or B) = P(A) + P(B)

A

Mutually Exclusive Events

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10
Q

Probability that event A occurs given that event B has already occured
“Probability of A given B”
P (A/B) = P(A and B)/P(B)

A

Conditional Probability

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11
Q

The probability that one event occurs in no way affects the probability of the other event occurring
ex. rolling a die and flipping a coin

A

Independent Events

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12
Q

The probability of one event occurring influences the likelihood of the other event
ex. Drawing a heart from a deck of cards, then drawing another heart from the deck

A

Dependent Events

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13
Q

Events A and B are independent if
P(A) = P(A/B)
OR
P(A) x P(B) = P (A and B)

A

Testing for Independence
*one may be easier over another depending on what information is offered

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14
Q

if an event has more than one stage to it, then a tree diagram can be drawn to list ALL the possible outcomes

A

Tree Diagrams/Sample Spaces

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15
Q

P (A THEN B) = P(A) x P(B)

A

Multiplication Rule for Multi Stage Events

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16
Q

If an object is replaced, and the probability of the second event does not change, then these events are independent

A

With replacement

17
Q

If an object is not replaced, and the probability of the second event changes, the denominator will ALWAYS be one less, the numerator is sometimes changed as well, thus, these events are dependent

A

Without replacement

18
Q

P(E) = n(E)/n(S)
n(E)= # of outcomes that fall into event E
n(S)= # of outcomes that fall into the sample space

A

Probability of an event E occurring

19
Q

0 (impossible) < P(event) < 1 (certain event)

A

range of probability

20
Q

P(Event) + P(NOT event) = 1

A

complement

21
Q

visualizes and keeps track of all possible outcomes in a sample space (union, intersection)

A

Venn diagrams

22
Q

P(neither) = 1 - P(at least one thing/policy)

A

chances of neither (opposite of or)

23
Q

2, 3, 5, 7, 11, 13, 17, 19, 23

A

Prime numbers

24
Q

the probability of an impossible event is 0 and the probability of a certain event 1

A

therefore the range of probability is 0 < P(E) <1
– –

25
Q

P(E) = P(not E) = 1
(aka complement)

A
26
Q

P(A or B)= P(A) + P(B) - P(A and B)
P(A V B) = P(A) + P(B) - P(A n B )

A

probability addition rule

27
Q

P(A or B) = P(A) + P(B)

A

For mutually exclusive events (events with no outcomes in common)

28
Q

P(A|B) = n(A and B)/n(B) or P(A and B)/p(B)

A

Conditional Probability

29
Q

If the probability that one event occurs in no way affects the probability of the other event occurring

A

the events are independent

30
Q

If the probability of one event occurring influences the likelihood of the other event

A

the events are dependent

31
Q

Tests for Independence:
Events A and B are independent if:
1) P(A) = P(A|B)
2) P(A) x P(B) = P (A and B)

A
32
Q

Multiplication Rule for multi-stage events P(A then B)= P(A) x P(B)

A
33
Q

probability with replacement
if an object is replaced, the probability of the second event does not change

A
34
Q

probability without replacement, if an object is not replaced, the probability of the second event will change (the denominator will always be one less and the numerator may be changed)

A