HW4 CH9,10 - Probability, Independant Events & Bayes' Formula Flashcards

1
Q

what is probability?

A

The chance an event will occur

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2
Q

what is sample space?

A

includes all possible outcomes in an experiment

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3
Q

what is event?

A

a subset (set) of outcomes of interest of the sample space

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4
Q

what are the probability rules?

A
  1. Prob.. is a value that is always between 0 and 1 inclusive (0% to 100%)
  2. Prob. of an impossible event is 0
  3. prob. of an event that must occur is 1
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5
Q

what is the complement of event A?

A

includes all outcomes in the sample space that do NOT belong to event A

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6
Q

what is the complementation rule?

A

P(Ac) = 1 - P(A)

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7
Q

what is the positive predictive value

A

the probability that a person has a disease, given that they had a positive test result for the disease

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8
Q

what is log run probability?

A

when the % of an outcome starts to stabilize down the x-axis the more you do that event

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9
Q

what does the phrase “at least mean”?

A

x or more

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10
Q

what does the phrase “at most” mean?

A

x or less

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11
Q

what is the symbol for union?

A

U

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12
Q

what is the symbol for intersection?

A

n

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13
Q

what do you do when you see the word “or”

A

you add

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14
Q

what is the general addition rule?

A

P(A U B) = P(A) + P(B) - (PA&B)
where outcomes that are in A or B or both

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15
Q

what is the intersection of events?

A
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16
Q

what is a dependent event?

A

when one even changes the probability of a 2nd event

17
Q

what is an independent event?

A

when 1 event DOES NOT change the probability of a 2nd event

18
Q

what is conditional probability?

A

the probability of an event occurring given that another event has already occurred

19
Q

when events are independent of each other then we can use what rule?

A

The multiplication rule

20
Q

what is the sensitivity of a diagnostic test?

A

the probability that test gives positive result when the person tested does have the disease

21
Q

Two or more events are disjoint if they have ____ outcomes in common

22
Q

Chance behavior is ____ in the short run

A

unpredictable

23
Q

A density curve can be obtained by smoothing a ____ of data

24
Q

P(A or B) = P(A) + P(B) means these events are….

25
Q

The ratio of the probability that an outcome occurs, over the probability that the outcome does not occur, gives the __________ of the outcome

26
Q

An event is random if individual __________ are uncertain but happen in a predictable manner through time

27
Q

A __________ model is a mathematical description of a random process.

A

probability

28
Q

Random Variable?

A

A variable that has a single numerical value, determine by chance, for each outcome of a procedure

29
Q

probability distribution

A

a distribution that gives each value of the random variable and the probability for that value. It can be expressed as a table, formula, or a graph

30
Q

discrete random variable

A

random variable whose possible values can be listed

31
Q

continuous random variable

A

random variable whose possible values cannot be listed

32
Q

The Poisson distribution describes the __________ of occurrences of an event in finite intervals of time and space.

33
Q

For the Poisson distribution the probability of an __________ over all possible intervals of the same size is the same.

A

occurrence