Services
Discover
Homeschooling
Ask a Question
Log in
Sign up
Filters
Done
Question type:
Essay
Multiple Choice
Short Answer
True False
Matching
Topic
Statistics
Study Set
Essentials of Statistics Study Set 1
Quiz 5: Discrete Probability Distributions
Path 4
Access For Free
Share
All types
Filters
Study Flashcards
Question 121
Multiple Choice
An archer is able to hit the bull's-eye 55% of the time. If she shoots 8 arrows, what is the probability that she gets exactly 4 bull's-eyes? Assume each shot is independent of the others.
Question 122
Multiple Choice
According 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.
Question 123
Multiple Choice
Focus groups of 13 people are randomly selected to discuss products of the Yummy Company. It is determined that the mean number (per group) who recognize the Yummy brand name is 10.1, and the standard deviation is 0.55. Would it be unusual to randomly select 13 people and find that fewer than 7 recognize the Yummy brand name?
Question 124
Multiple Choice
Determine whether the given procedure results in a binomial distribution. If not, state the reason why. -Rolling a single "loaded" die 38 times, keeping track of the "fives" rolled.
Question 125
Multiple Choice
Determine if the outcome is unusual. Consider as unusual any result that differs from the mean by more than 2 standard deviations. That is, unusual values are either less than
μ
−
2
σ
or greater than
μ
+
2
σ
\mu - 2 \sigma \text { or greater than } \mu + 2 \sigma
μ
−
2
σ
or greater than
μ
+
2
σ
. -A survey for brand recognition is done and it is determined that 68% of consumers have heard of Dull Computer Company. A survey of 800 randomly selected consumers is to be conducted. For such groups of 800, would it be unusual to get 504 consumers who recognize the Dull Computer Company name?
Question 126
Multiple Choice
Find the indicated probability. Round to three decimal places. -A company purchases shipments of machine components and uses this acceptance sampling plan: Randomly select and test 26 components and accept the whole batch if there are fewer than 3 defectives. If a particular shipment of thousands of components actually has a 6% rate of defects, What is the probability that this whole shipment will be accepted?
Question 127
Multiple Choice
Determine if the outcome is unusual. Consider as unusual any result that differs from the mean by more than 2 standard deviations. That is, unusual values are either less than
μ
−
2
σ
or greater than
μ
+
2
σ
\mu - 2 \sigma \text { or greater than } \mu + 2 \sigma
μ
−
2
σ
or greater than
μ
+
2
σ
-The Acme Candy Company claims that 8% of the jawbreakers it produces actually result in a broken jaw. Suppose 9571 persons are selected at random from those who have eaten a jawbreaker produced at Acme Candy Company. Would it be unusual for this sample of 9571 to contain 806 persons with broken jaws?
Question 128
Multiple Choice
Use the given values of n and p to find the minimum usual value
μ
−
2
σ
and the maximum usual value
μ
+
2
σ
\mu - 2 \sigma \text { and the maximum usual value } \mu + 2 \sigma
μ
−
2
σ
and the maximum usual value
μ
+
2
σ
. Round your answer to the nearest hundredth unless otherwise noted. -
n
=
103
,
p
=
0.26
\mathrm { n } = 103 , \mathrm { p } = 0.26
n
=
103
,
p
=
0.26
Question 129
Multiple Choice
If we sample from a small finite population without replacement, the binomial distribution should not be used because the events are not independent. If sampling is done without replacement and the outcomes belong to one of two types, we can use hypergeometric distribution. If a population has A objects of one type, while the remaining B objects are of the other type, and if n objects are sampled without replacement, then the probability of getting x objects of type
A and
(
n
−
x
)
\text { A and } ( n - x )
A and
(
n
−
x
)
objects of type B is
P
(
x
)
=
A
!
(
A
−
x
)
!
x
!
⋅
B
!
(
B
−
n
+
x
)
!
(
n
−
x
)
!
÷
(
A
+
B
)
!
(
A
+
B
−
n
)
!
n
!
P ( x ) = \frac { A ! } { ( A - x ) ! x ! } \cdot \frac { B ! } { ( B - n + x ) ! ( n - x ) ! } \div \frac { ( A + B ) ! } { ( A + B - n ) ! n ! }
P
(
x
)
=
(
A
−
x
) !
x
!
A
!
⋅
(
B
−
n
+
x
) !
(
n
−
x
) !
B
!
÷
(
A
+
B
−
n
) !
n
!
(
A
+
B
) !
In a relatively easy lottery, a bettor selects 3 numbers from 1 to 12 (without repetition) , and a winning 3-number combination is later randomly selected. What is the probability of getting all 3 winning numbers? Round your answer to four decimal places.
Question 130
Multiple Choice
The probability is 0.2 that a person shopping at a certain store will spend less than $20. For groups of size 11, find the mean number who spend less than $20.
Question 131
Multiple Choice
On a multiple choice test with 11 questions, each question has four possible answers, one of which is correct. For students who guess at all answers, find the mean for the number of correct answers.
Question 132
Multiple Choice
Use the given values of n and p to find the minimum usual value
μ
−
2
σ
and the maximum usual value
μ
+
2
σ
\mu - 2 \sigma \text { and the maximum usual value } \mu + 2 \sigma
μ
−
2
σ
and the maximum usual value
μ
+
2
σ
. Round your answer to the nearest hundredth unless otherwise noted. -
n
=
336
,
p
=
0.257
Round your answers to the nearest thousandth.
\mathrm { n } = 336 , \mathrm { p } = 0.257 \text { Round your answers to the nearest thousandth. }
n
=
336
,
p
=
0.257
Round your answers to the nearest thousandth.
Question 133
Multiple Choice
Suppose you pay $3.00 to roll a fair die with the understanding that you will get back $5.00 for rolling a 1 or a 2, nothing otherwise. What is your expected value?
Question 134
Multiple Choice
The probability of winning a certain lottery is
1
64
,
481
\frac { 1 } { 64,481 }
64
,
481
1
. For people who play 669 times, find the standard deviation for the number of wins.
Question 135
Multiple Choice
Find the indicated probability. Round to three decimal places. -The participants in a television quiz show are picked from a large pool of applicants with approximately equal numbers of men and women. Among the last 10 participants there have been only 2 women. If participants are picked randomly, what is the probability of getting 2 or fewer women when 10 people are picked?
Question 136
Multiple Choice
Assume that a procedure yields a binomial distribution with a trial repeated n times. Use the binomial probability formula to find the probability of x successes given the probability p of success on a single trial. Round to three decimal places. -
n
=
30
,
x
=
12
,
p
=
0.20
\mathrm { n } = 30 , \mathrm { x } = 12 , \mathrm { p } = 0.20
n
=
30
,
x
=
12
,
p
=
0.20
Question 137
Multiple Choice
A contractor is considering a sale that promises a profit of $25,000 with a probability of 0.7 or a loss (due to bad weather, strikes, and such) of $2000 with a probability of 0.3. What is the expected profit?