Probability Chapter 1 Flashcards

1
Q

Define the 3 criteria required for {G1,G2,G3} to form a partition of the sample space?

A

Gi n Gi =empty set for all i≠I

G1 U G2 U G3=S1 the sample space

P(Gi)>0 for all I

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2
Q

What is an experiment?

A

An experiment is any process that requires some action to be performed and had an outcome that can be recorded

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3
Q

What is an outcome?

A

An outcome is any single result from an experiment?

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4
Q

What is a sample space?

A

A sample space is the set (collection) of all possible outcomes of an experiment & is typical denoted by S.

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5
Q

What is an event?

A

An event is any collection of outcomes from the sample space. More formally it is a subset of the sample space. Events are typically denotes by capital letters.

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6
Q

What is a null event?

A

The null event (or empty set) contains no outcomes & is denoted by Ø

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7
Q

What are the definitions of 2 events A & B?

A

Intersection (AnB)- both A & B occur
Union (AuB)- either A or B or both occur
Complement (Ā)- not A, occurs when A does not
Disjoint (AnB= Ø)- A & B have no points in common, so if A happens then B does not
Subset (A ⊂ B)- if A happens then B will definitely happen. Also known as A implied B.

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8
Q

What are permutations?

A

Permutations is where order matters!!!
The number of possible permutations (orderings) of the r objects from n is
^nPr= n!/(n-r)!

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9
Q

What are combinations?

A

Combinations is where order doesn’t matter!!!
Suppose there are a collection of n objects all of which are different. Then they are
^nCr= n!/(n-r)!r!
Possible combinations

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10
Q

What is the probability of any single outcome?

A

If an experiment has a sample space of n outcomes that are equally likely to occur, the probability of any single outcome is
P(any single outcome)=1/n

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11
Q

How do you calculate P(AuB)?

A

P(AuB)=P(A)+P(B)-P(AnB)

  • If A & B are disjoint then P(AnB)=0
  • If B is a subset of A then P(AnB)=P(B)
  • If A & B are independent then P(AnB)=P(A)P(B)
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12
Q

How do you find the probability of A happening given that B has already happened (conditional probability)?

A

P(A\B)=P(AnB)/P(B)

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13
Q

What is the Bayes theorem?

A

Bayes theorem can be based on the idea of a partition, which is a set of events that follow 3 rules

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