Refer to the table which summarizes the results of testing for a certain disease.
Positive Test Result Negative Test Result
Subject has the disease 87 9
Subject does not have the disease 27 312
A test subject is randomly selected and tested for the disease. What is the probability the subject
has the disease given that the test result is negative?
A) 0.094 B) 0.028 C) 0.972 D) 0.221
Q. 2In one town, the number of burglaries in a week has a Poisson distribution with a mean of 1.9. Find
the probability that in a randomly selected week the number of burglaries is at least three.
A) 0.1710 B) 0.1253 C) 0.8290 D) 0.7037 E) 0.2963
Q. 3According to a college survey, 22 of all students work full time. Find the mean for the number of
students who work full time in samples of size 16.
A) 3.5 B) 2.8 C) 4.0 D) 0.2
Q. 4The accompanying table shows the probability distribution for x, the number that shows up when
a loaded die is rolled.
x P(x)
1 0.14
2 0.16
3 0.12
4 0.14
5 0.13
6 0.31
A) = 3.89 B) = 0.17 C) = 3.50 D) = 3.76
Q. 5What important question must you answer before computing an or probability? How
does the answer influence your computation?
What will be an ideal response?
Q. 6In a certain town, 40 of adults have a college degree.
The accompanying table describes
the probability distribution for the number of adults (among 4 randomly selected adults)
who have a college degree.
x P(x)
0 0.1296
1 0.3456
2 0.3456
3 0.1536
4 0.0256
Q. 7In a certain town, 22 of voters favor a given ballot measure. For groups of 21 voters, find the
variance for the number who favor the measure.
A) 3.6 B) 4.6 C) 1.9 D) 13
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