Complete the following exercises from "Questions and Problems" located at the end of each chapter and put them into a Word document to be submitted as directed by the instructor.
1. Chapter Five # 10, 12, 14, 22
2. Chapter Eight # 9, 10, 13, 14, 18, 25, 26
3. Chapter Nine # 2, 5, 8, 12, 16
(10). A population of raw scores is normally distributed
with μ _ 60 and _ 14. Determine the z scores for
the following raw scores taken from that population:
(12). For the following z scores, determine the percentage
of scores that lie between the mean and the z score:
(14). Given that a population of scores is normally distributed
with μ _ 110 and _ 8, determine the following:
a. The percentile rank of a score of 120
b. The percentage of scores that are below a score
c. The percentage of scores that are between a score
of 101 and 122
d. The percentage of scores that are between a score
of 114 and 124
e. The score in the population above which 5% of the scores lie
(22). Anthony is deciding whether to go to graduate school
in business or law. He has taken nationally administered
aptitude tests for both fields. Anthony’s scores
along with the national norms are shown here. Based
solely on Anthony’s relative standing on these tests,
which field should he enter? Assume that the scores
on both tests are normally distributed.
Field _ _
Business 68 4.2 80.4
Law 85 3.6 89.8
(9). Which of the following are examples of independent
a. Obtaining a 3 and a 4 in one roll of two fair dice
b. Obtaining an ace and a king in that order by
drawing twice without replacement from a deck
c. Obtaining an ace and a king in that order by
drawing twice with replacement from a deck of
d. A cloudy sky followed by rain
e. A full moon and eating a hamburger
(10). Which of the following are examples of mutually
a. Obtaining a 4 and a 7 in one draw from a deck of
ordinary playing cards
b. Obtaining a 3 and a 4 in one roll of two fair dice
c. Being male and becoming pregnant
d. Obtaining a 1 and an even number in one roll of a
e. Getting married and remaining a bachelor
(13). If you draw a single card once from a deck of ordinary
playing cards, what is the probability that it
a. The ace of diamonds?
b. A 10?
c. A queen or a heart?
d. A 3 or a black card? other
(14). If you roll two fair dice once, what is the probability
that you will obtain
a. A 2 on die 1 and a 5 on die 2?
b. A 2 and a 5 without regard to which die has the 2
c. At least one 2 or one 5?
d. A sum of 7? Other
(18). You want to call a friend on the telephone. You remember
the first three digits of her phone number, but you
have forgotten the last four digits. What is the probability
that you will get the correct number merely by
guessing once? Other
(25). Assume the IQ scores of the students at your university
are normally distributed, with _ _ 115 and _ _ 8.
If you randomly sample one score from this distribution,
what is the probability it will be
a. Higher than 130?
b. Between 110 and 125?
c. Lower than 100? cognitive
(26). A standardized test measuring mathematics profi -
ciency in sixth graders is administered nationally.
The results show a normal distribution of scores,
with _ _ 50 and _ _ 5.8. If one score is randomly
sampled from this population, what is the probability
it will be
a. Higher than 62?
b. Between 40 and 65?
c. Lower than 45? Education
(2). What are the five conditions necessary for the binomial
distribution to be appropriate?
(5). Using Table B, if N _ 12 and P _ 0.50,
a. What is the probability of getting exactly 10 P
b. What is the probability of getting 11 or 12 P events?
c. What is the probability of getting at least 10 P
d. What is the probability of getting a result as extreme
as or more extreme than 10 P events?
(8). An individual flips nine fair coins. If she allows only
a head or a tail with each coin,
a. What is the probability they all will fall heads?
b. What is the probability there will be seven or
(12). A student is taking a true/false exam with 15 questions.
If he guesses on each question, what is the
probability he will get at least 13 questions correct?
(16). A manufacturer of valves admits that its quality control
has gone radically “downhill” such that currently
the probability of producing a defective valve is 0.50.
If it manufactures 1 million valves in a month and
you randomly sample from these valves 10,000 samples,
each composed of 15 valves,
a. In how many samples would you expect to find
exactly 13 good valves?
b. In how many samples would you expect to find at
least 13 good valves? I/O
|Due By (Pacific Time)||05/02/2014 12:00 am|
out of 1971 reviews
out of 766 reviews
out of 1164 reviews
out of 721 reviews
out of 1600 reviews
out of 770 reviews
out of 766 reviews
out of 680 reviews