Chapter 5 Flashcards
(30 cards)
Variables that take on values at every point over a given interval are called _______________ _______________ variables.
Continuous Random
If the set of all possible values of a variable is at most finite or a countably infinite number of possible values, then the variable is called a _______________ _______________ variable.
Discrete Random
An experiment in which a die is rolled six times will likely produce values of a _______________ random variable.
Discrete
An experiment in which a researcher counts the number of customers arriving at a
supermarket checkout counter every two minutes produces values of a _______________
random variable.
Discrete
An experiment in which the time it takes to assemble a product is measured is likely to produce values of a _______________ random variable.
Continuous
A binomial distribution is an example of a _______________ distribution.
Discrete
The normal distribution is an example of a _______________ distribution.
Continuous
The long-run average of a discrete distribution is called the __________________ or
______________________________________.
Mean, Expected Value
Use the following discrete distribution to answer 9 and 10. The mean of the discrete distribution is
x P(x)
1 .435
2 .241 3 .216
4 .108
1.997
Use the following discrete distribution to answer 9 and 10. The variance of the discrete distribution above is
x P(x)
1 .435
2 .241 3 .216
4 .108
1.083
On any one trial of a binomial experiment, there can be only _______________ possible
outcomes.
Two
Suppose the probability that a given part is defective is .10. If four such parts are randomly
drawn from a large population, the probability that exactly two parts are defective is
________.
0.0486
Suppose the probability that a given part is defective is .04. If thirteen such parts are randomly drawn from a large population, the expected value or mean of the binomial distribution that describes this experiment is ________.
0.52
Suppose a binomial experiment is conducted by randomly selecting 20 items where p = .30. The standard deviation of the binomial distribution is _______________.
2.049
Suppose forty-seven percent of the workers in a large corporation are under thirty-five years of age. If fifteen workers are randomly selected from this corporation, the probability of selecting exactly ten who are under thirty-five years of age is _______________.
.0661
Suppose that twenty-three percent of all adult Americans fly at least once a year. If twelve adult Americans are randomly selected, the probability that exactly four have flown at least once last year is _______________.
.1712
Suppose that sixty percent of all voters support the President of the United States at this time. If twenty voters are randomly selected, the probability that at least eleven support the President is _______________.
.755
The Poisson distribution was named after the French mathematician _______________.
Poisson
The Poisson distribution focuses on the number of discrete occurrences per _______________.
Interval
The Poisson distribution tends to describe _______________ occurrences.
Rare
The long-run average or mean of a Poisson distribution is _______________.
Lambda
The variance of a Poisson distribution is equal to _______________.
Lambda
If Lambda is 2.6 occurrences over an interval of five minutes, the probability of getting six occurrences over one five minute interval is _______________.
0.0319
Suppose that in the long-run a company determines that there are 1.2 flaws per every twenty pages of typing paper produced. If ten pages of typing paper are randomly selected, the probability that more than two flaws are found is _______________.
.0232
