quiz 5 Flashcards

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1
Q

the probability of event A given that event B has occurred is called the…

A

CONDITIONAL probability of A, given that B has occurred

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2
Q

how is the vertical bar read as

A

given

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3
Q

the conditional probability of event A given that B has occurred is…

A

P(A∩B)/P(B)

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4
Q

when 2 events are independent, the conditional probability equals the marginal probability of the event

A

P(A|B)=P(A)

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5
Q

a _________ is the event that the test is positive for a given condition, given that the person _____ have the condition

A

false positive(type I error), does not

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6
Q

a_________ is the event that the the test is negative for a given condition, given that the person______ the condition

A

false negative (type II error), has

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7
Q

a sample space can be partitioned into k subplots that are…

A

mutually exclusive and exhaustive

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8
Q

the law of total probability

A

P(A)= P(S1) x P(A|S1) + P(S2) x P(A|S2) +…..

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9
Q

P(A∩Si)=

A

P(Si) x P(A|Si)

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10
Q

a variable X is a ________ if the value that it assumes corresponding to the outcome of an experiment , is a chance or random event

A

random variable

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11
Q

quantitative variables are either________ or________, according to the values that x can assume

A

discrete, continuous

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12
Q

we defined probability as the limiting value of the _____________ as the experiment is repeated over and over again

A

relative frequency

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13
Q

Now we define the probability distribution for a random variable as the_________ constructed for the entire population of measurements

A

relative frequency distribution

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14
Q

the _________ for a discrete random variable is a formula, table, or graph that gives all the possible values of x, and the probability( p(x)=P(X=x) ) associated with each value x

A

probability distribution

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15
Q

the difference is that the relative frequency distribution describes a_______ of n measurements while the probability distribution is constructed as a model for the entire ________ of measurements

A

sample, population

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16
Q

The population mean which measures the average value of x in a population is also called the __________ of the random variable X and is written as ______. It is the value that you would expect to observe _______

A

expected value, E(x), on average

17
Q

E(x)= ∑ x p(x)

A

true

18
Q

σ²=∑ (x-ϻ)² p(x)

A

true

19
Q

a binomial experiment is one that has ____ characteristics

A

5

20
Q

1.the experiment consists of n ____ trials

A

identical

21
Q
  1. Each trial results in one of ___ outcomes, one outcome is called a success and the other a failure
A

2

22
Q
  1. The probability of success on a single trial is equal to _____ and remains the same from trial to trial. the probability of failure is ____=q
A

p, 1-p

23
Q
  1. The trials are ________
A

independent

24
Q
  1. We are interested in the ______ random variable X, the # of successes in n trials, for X=0,1, n
A

discrete

25
Q

mean for binomial random variable

A

ϻ= np

26
Q

variance for binomial random variable

A

σ²=npq

27
Q

the values of x are mutually exclusive, summing p(.) over all values of x is the same as adding the probabilities of all simple events and therefore equals.

A

true

28
Q

requirement 1 for discrete probability distribution

A

p(x) is greater than or equal to 0 and less than or equal to 1

29
Q

requirement 2 for discrete probability distribution

A

∑ p(x)=1

30
Q

what is the general multiplication rule ?

A

The probability that both A and B occur when the experiment is performed is
P(A∩B)= P(A) P(B|A)

31
Q

2 mutually exclusive events are not independent of each other
true or false

A

TRUE

32
Q

2 events are independent if….

A

the conditional probability of that event is equal to the marginal probability of that event and if P(A∩B)= P(A)P(B)