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front 1 After taking the first exam, 15 of the students dropped the class. | back 1 B) Parameter |

front 2 The height of 2-year-old maple tree is 28.3 ft. | back 2 A) Continuous |

front 3 The sample of spheres categorized from softest to hardest. | back 3 D) Ordinal |

front 4 Identify the sample and population. Also, determine whether the
sample is likely to be representative of the population. | back 4 Sample: the 3 selected customers |

front 5 Is this accurate data? | back 5 No, The sample was too small. |

front 6 Convert 2.5 to an equivalent fraction and percent. | back 6 A) 2 1/2, 250% |

front 7 Alex and Juana went on a 116-mile canoe trip with their class. On the
first day they traveled 29 miles. What percent of the total distance
did they canoe? | back 7 A) 25% |

front 8 An advertisement for a heating pad says that it can reduce back pain by 200%. What is wrong with this statement? | back 8 If a person's back pain was reduced by 100%, it would be completely eliminated, so it is not possible for a person's back pain to be reduced by more than 100%. |

front 9 A marketing firm does a survey to find out how many people use a
product. Of the one hundred people contacted, fifteen said they use
the product. | back 9 B) Observational study |

front 10 A quality control specialist compares the output from a machine with
a new lubricant to the output of machines with the old lubricant. | back 10 B) Experiment |

front 11 49, 34, and 48 students are selected from the Sophomore, Junior, and
Senior classes with 496, 348, and 481 students respectively. | back 11 C) Stratified |

front 12 A pollster uses a computer to generate 500 random numbers, then
interviews the voters corresponding to those numbers. | back 12 B) Random |

front 13 An education researcher randomly selects 48 middle schools and
interviews all the teachers at each school. | back 13 B) Cluster |

front 14 An electronics store receives a shipment of eight boxes of
calculators. Each box contains ten calculators. A quality control
inspector chooses a box by putting eight identical slips of paper
numbered 1 to 8 into a hat, mixing thoroughly and then picking a slip
at random. He then chooses a calculator at random from the box
selected using a similar method with ten slips of paper in a hat. He
repeats the process until he obtains a sample of 5 calculators for
quality control testing. Does this sampling plan result in a random
sample? Simple random sample? Explain. | back 14 D) Yes; yes. The sample is random because all calculators have the same chance of being selected. It is a simple random sample because all samples of 5 calculators have the same chance of being selected. |

front 15 The scores on a recent statistics test are given in the frequency distribution below. Construct the corresponding relative frequency distribution. | back 15 |

front 16 On a math test, the scores of 24 students were | back 16 |

front 17 The frequency table below shows the number of days off in a given
year for 30 police detectives. | back 17 The distribution does not appear to be normal. It is not bell-shaped and it is not symmetric. |

front 18 Construct the dotplot for the given data. | back 18 |

front 19 Use the data to create a stemplot. | back 19 |

front 20 240 casino patrons, were interviewed as they left the casino. 72 of them said they spent most of the time playing the slots. 72 of them said they played blackjack. 36 said they played craps. 12 said roulette. 12 said poker. The rest were not sure what they played the most. Construct a Pareto chart to depict the gaming practices of the group of casino goers. Choose the vertical scale so that the relative frequencies are represented. | back 20 |

front 21 The following data give the distribution of the types of houses in a
town containing 24,000 houses. | back 21 |

front 22 The pie chart shows the percent of the total population of 61,100 of
Springfield living in the given types of housing. Round your result to
the nearest whole number. | back 22 A) 9165 people |

front 23 The graph below shows the number of car accidents occurring in one city in each of the years 2001 through 2006. The number of accidents dropped in 2003 after a new speed limit was imposed. Does the graph distort the data? How would you redesign the graph to be less misleading? | back 23 The graph distorts the data because the the vertical scale starts at 60 rather than 0, giving the impression of a large difference in the number of accidents, when actually the number of accidents only varies from 90 to 120. To make the graph less misleading, change the vertical scale so that it begins at 0 and increases in increments of 20. |

front 24 Find the mean for the given sample data. | back 24 A) 9.1 cousins |

front 25 A store manager kept track of the number of newspapers sold each week
over a seven-week period. The results are shown below. Find the median
number of newspapers sold. | back 25 C) 201 newspapers |

front 26 Find the mode(s) for the given sample data. | back 26 D) 77, 52 |

front 27 Find the midrange for the given sample data. | back 27 A) 61.5 |

front 28 The weights (in ounces) of 18 cookies are shown. Find the midrange. | back 28 B) 1.040 oz |

front 29 Find the mean and median for each of the two samples, then compare
the two sets of results. | back 29 Central air: mean = $66.20; median = $65 |

front 30 The test scores of 40 students are summarized in the frequency
distribution below. Find the mean score. | back 30 A) 77.3 |

front 31 A student earned grades of B, B, A, C, and D. Those courses had these
corresponding numbers of credit hours: 4, 5, 1, 5, 4. The grading
system assigns quality points to letter grades as follows: | back 31 D) 2.37 |

front 32 Jorge has his own business as a painter. The amounts he made in the
last five months are shown below. Find the range for the given sample
data. | back 32 B) $1364 |

front 33 Find the variance for the given data. | back 33 A) 67.7 |

front 34 Christine is currently taking college astronomy. The instructor often
gives quizzes. On the past seven quizzes, Christine got the following
scores: | back 34 D) 17 |

front 35 The heights of a group of professional basketball players are
summarized in the frequency distribution below. Find the standard
deviation. | back 35 C) 2.8 in. |

front 36 The race speeds for the top eight cars in a 200-mile race are listed
below. | back 36 B) 3.4 |

front 37 The amount of Jen's monthly phone bill is normally distributed with a
mean of $74 and a standard deviation of $8. What percentage of her
phone bills are between $50 and $98? | back 37 B) 99.7% |

front 38 The ages of the members of a gym have a mean of 47 years and a
standard deviation of 10 years. What can you conclude from Chebyshev's
theorem about the percentage of gym members aged between 32 and 62? | back 38 B) The percentage is at least 55.6% |

front 39 The test scores of 32 students are listed below. Construct a boxplot
for the data set. | back 39 Run 1-var stats |

front 40 Construct a modified boxplot for the data. Identify any outliers. | back 40 |

front 41 For data which are heavily skewed to the right, P10 is likely to be
closer to the median than P90. | back 41 B) True |

front 42 "You have one chance in ten of winning the race."
| back 42 D) 0.10 |

front 43 A bag contains 6 red marbles, 3 blue marbles, and 5 green marbles. If
a marble is randomly selected from the bag, what is the probability
that it is blue? | back 43 C)3/14 |

front 44 If one of the results is randomly selected, what is the probability
that it is a false positive (test indicates the person has the disease
when in fact they don't)? What does this probability suggest about the
accuracy of the test? | back 44 B) 0.0967; The probability of this error is high so the test is not
very accurate. |

front 45 Of 1936 people who came into a blood bank to give blood, 200 people
had high blood pressure. | back 45 B) 0.103 |

front 46 Two white mice mate. The male has both a white and a black fur-color
gene. The female has only white fur-color genes. The fur color of the
offspring depends on the pairs of fur-color genes that they receive.
Assume that neither the white nor the black gene dominates. List the
possible outcomes. | back 46 D) WW, BW |

front 47 A spinner has equal regions numbered 1 through 15. What is the
probability that the spinner will | back 47 A)2/3 |

front 48 If one of the 1124 people is randomly selected, find the probability
that the person is a man or a heavy smoker. | back 48 D) 0.516 |

front 49 A 6-sided die is rolled. Find P(3 or 5). | back 49 C)1/3 |

front 50 A card is drawn from a well-shuffled deck of 52 cards. Find P(drawing
a face card or a 4). | back 50 B)4/13 |

front 51 100 employees of a company are asked how they get to work and whether
they work full time or part time. The figure below shows the results.
If one of the 100 employees is randomly selected, find the probability
that the person drives alone or cycles to work. | back 51 D) 0.69 |

front 52 In one town, 61% of adults have health insurance. What is the
probability that 6 adults selected at random from the town all have
health insurance? Round to the nearest thousandth if necessary. | back 52 C) 0.052 |

front 53 You are dealt two cards successively (without replacement) from a
shuffled deck of 52 playing cards. Find the probability that both
cards are black. Express your answer as a simplified fraction. | back 53 B)25/102 |

front 54 If two different people are randomly selected from the 933 subjects,
find the probability that they | back 54 D) 0.006383 |

front 55 In a batch of 8,000 clock radios 6% are defective. A sample of 8
clock radios is randomly selected without replacement from the 8,000
and tested. The entire batch will be rejected if at least one of those
tested is defective. What is the probability that the entire batch
will be rejected? | back 55 D) 0.390 |

front 56 In a blood testing procedure, blood samples from 3 people are
combined into one mixture. The mixture will only test negative if all
the individual samples are negative. If the probability that an
individual sample tests positive is 0.1, what is the probability that
the mixture will test positive? | back 56 A) 0.271 |

front 57 If one of the 87 flights is randomly selected, find the probability
that the flight selected arrived on time. | back 57 B)76/87 |

front 58 If one of the 1026 subjects is randomly selected, find the
probability that the person chosen is a nonsmoker given that it is a
woman. | back 58 B) 0.706 |

front 59 The library is to be given 7 books as a gift. The books will be
selected from a list of 16 titles. If each book selected must have a
different title, how many possible selections are there? | back 59 B) 11,440 |

front 60 The organizer of a television show must select 5 people to
participate in the show. The participants will be selected from a list
of 24 people who have written in to the show. If the participants are
selected randomly, what is the probability that the 5 youngest people
will be selected? | back 60 A)1/42,504 |

front 61 How many 3-digit numbers can be formed using the digits 1, 2, 3, 4,
5, 6, 7 if repetition of digits is not allowed? | back 61 D) 210 |

front 62 A class has 8 students who are to be assigned seating by lot. What is
the probability that the students will be arranged in order from
shortest to tallest? (Assume that no two students are the same
height.) | back 62 D) 0.0000248 |

front 63 12 wrestlers compete in a competition. If each wrestler wrestles one
match with each other wrestler, what are the total numbers of matches? | back 63 A) 66 |

front 64 The cost of a randomly selected orange | back 64 A) Discrete |

front 65 The height of a randomly selected student | back 65 A) Continuous |

front 66 Determine whether the following is a probability distribution. If not, identify the requirement that is not satisfied. | back 66 Not a probability distribution. The sum of the P(x)'s is not 1, since 1.077 1.000. |

front 67 The number of golf balls ordered by customers of a pro shop has the
following probability distribution. Find the mean | back 67 A) μ = 8.46 |

front 68 The probabilities that a batch of 4 computers will contain 0, 1, 2,
3, and 4 defective computers are 0.5729, 0.3424, 0.0767, 0.0076, and
0.0003, respectively. Find the mean | back 68 C) μ = 0.52 |

front 69 In a certain town, 70% 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. Find the standard deviation for the probability distribution. | back 69 C) σ = 0.92 |

front 70 Assume that there is a 0.05 probability that a sports playoff series
will last four games, a 0.45 probability that it will last five games,
a 0.45 probability that it will last six games, and a 0.05 probability
that it will last seven games. Is it unusual for a team to win a
series in 4 games? | back 70 A) Yes |

front 71 Find the probability of selecting 12 or more girls. | back 71 D) 0.007 |

front 72 Find the probability of selecting exactly 4 girls. | back 72 A) 0.061 |

front 73 Find the probability of selecting 2 or more girls. | back 73 A) 0.999 |

front 74 Ten apples, four of which are rotten, are in a refrigerator. Three apples are randomly selected without replacement. Let the random variable x represent the number chosen that are rotten. Construct a table describing the probability distribution, then find the mean and standard deviation for the random variable x. | back 74 μ = 1.200 |

front 75 Suppose you pay $2.00 to roll a fair die with the understanding that
you will get back $4.00 for rolling a 2 or a 4, nothing otherwise.
What is your expected value? | back 75 A) -$0.67 |

front 76 The prizes that can be won in a sweepstakes are listed below together
with the chances of winning each one: $3800 (1 chance in 8600); $1700
(1 chance in 5400); $700 (1 chance in 4600); $200 (1 chance in 2600).
Find the expected value of the amount won for one entry if the cost of
entering is 55 cents. | back 76 A) $0.44 |

front 77 Multiple-choice questions on a test each have 4 possible answers, one
of which is correct. | back 77 a. 0.00879 |

front 78 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. | back 78 B) 0.103 |

front 79 An airline estimates that 90% of people booked on their flights
actually show up. If the airline books 71 people on a flight for which
the maximum number is 69, what is the probability that the number of
people who show up will exceed the capacity of the plane? | back 79 C) 0.005 |

front 80 A car insurance company has determined that 9% of all drivers were
involved in a car accident last year. Among the 11 drivers living on
one particular street, 3 were involved in a car accident last year. If
11 drivers are randomly selected, what is the probability of getting 3
or more who were involved in a car accident last year? | back 80 C) 0.070 |

front 81 An archer is able to hit the bull's-eye 50% 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. | back 81 C) 0.273 |

front 82 Suppose that 11% of people are left handed. If 5 people are selected
at random, what is the probability that exactly 2 of them are left
handed? | back 82 C) 0.0853 |

front 83 Find the mean, μ, | back 83 C) μ = 1363.3 |

front 84 Find the standard deviation, σ. | back 84 B) σ = 3.36 |

front 85 On a multiple choice test with 9 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. | back 85 C) 2.3 |

front 86 The probability is 0.6 that a person shopping at a certain store will
spend less than $20. For groups of size 24, find the mean number who
spend less than $20. | back 86 D) 14.4 |

front 87 On a multiple choice test with 18 questions, each question has four
possible answers, one of which is correct. For students who guess at
all answers, find the variance for the number of correct answers. | back 87 C) 3.4 |

front 88 Consider as unusual any result that differs from the mean by more
than 2 standard | back 88 A) Yes |

front 89 What is the probability that the random variable has a value greater
than 4? | back 89 C) 0.500 |

front 90 What is the probability that the random variable has a value less
than 7.4? | back 90 C) 0.9250 |

front 91 What is the probability that the random variable has a value between
0.1 and 6.2? | back 91 C) 0.7625 |

front 92 Find the area of the shaded region. The graph depicts the standard
normal distribution with mean 0 and standard deviation 1. | back 92 B) 0.8708 |

front 93 Find the area of the shaded region. The graph depicts the standard
normal distribution with mean 0 and standard deviation 1. | back 93 C) 0.9398 |

front 94 Find the indicated z score. The graph depicts the standard normal
distribution with mean 0 and standard deviation 1. | back 94 D) -1.34 |

front 95 The probability that z lies between -0.55 and 0.55 | back 95 C) 0.4176 |

front 96 P(z > 0.59) | back 96 D) 0.2776 |

front 97 P(-0.73 < z < 2.27) | back 97 A) 0.7557 |

front 98 Find the indicated value. | back 98 C) 1.645 |

front 99 Find the area of the shaded region. The graph depicts IQ scores of
adults, and those scores are normally distributed with a mean of 100
and a standard deviation of 15 (as on the Wechsler test). | back 99 D) 0.7486 |

front 100 Find the IQ score separating the top 14% from the others. | back 100 D) 116.2 |

front 101 A bank's loan officer rates applicants for credit. The ratings are
normally distributed with a mean of 200 and a standard deviation of
50. Find P60, the score which separates the lower 60% from the top
40%. | back 101 A) 212.5 |

front 102 The serum cholesterol levels for men in one age group are normally
distributed with a mean of 178.1 and a standard deviation of 40.9. All
units are in mg/100 mL. Find the two levels that separate the top 9%
and the bottom 9%. | back 102 A) 123.3 mg/100mL and 232.9 mg/100mL |

front 103 The incomes of trainees at a local mill are normally distributed with
a mean of $1100 and a standard deviation of $150. What percentage of
trainees earn less than $900 a month? | back 103 D) 9.18% |

front 104 The weekly salaries of teachers in one state are normally distributed
with a mean of $490 and a standard deviation of $45. What is the
probability that a randomly selected teacher earns more than $525 a
week? | back 104 C) 0.2177 |

front 105 The lengths of human pregnancies are normally distributed with a mean
of 268 days and a standard deviation of 15 days. What is the
probability that a pregnancy lasts at least 300 days? | back 105 C) 0.0166 |

front 106 A poll of 1700 randomly selected students in grades 6 through 8 was conducted and found that 37% enjoy playing sports. Is the 37% result a statistic or a parameter? Explain. | back 106 Statistic, because it is calculated from a sample, not a population. |

front 107 The amount of snowfall falling in a certain mountain range is
normally distributed with a mean of 91 inches, and a standard
deviation of 10 inches. What is the probability that the mean annual
snowfall during 25 randomly picked years will exceed 93.8 inches? | back 107 B) 0.0808 |

front 108 A bank's loan officer rates applicants for credit. The ratings are
normally distributed with a mean of 200 and a standard deviation of
50. If 40 different applicants are randomly selected, find the
probability that their mean is above 215. | back 108 C) 0.0287 |

front 109 Assume that women's heights are normally distributed with a mean of
63.6 inches and a standard deviation of 2.5 inches. If 90 women are
randomly selected, find the probability that they have a mean height
between 62.9 inches and 64.0 inches. | back 109 A) 0.9318 |

front 110 A final exam in Math 160 has a mean of 73 with standard deviation
7.8. If 24 students are randomly selected, find the probability that
the mean of their test scores is greater than 71. | back 110 A) 0.8962 |

front 111 State whether or not it is suitable to use the normal distribution as
an approximation. | back 111 A) Normal approximation is suitable. |

front 112 State whether or not it is suitable to use the normal distribution as
an approximation. | back 112 B) Normal approximation is not suitable. |

front 113 Estimate the indicated probability by using the normal distribution
as an approximation to the binomial distribution. | back 113 B) 0.9306 |

front 114 Estimate the indicated probability by using the normal distribution
as an approximation to the binomial distribution. | back 114 A) 0.1038 |

front 115 Use the normal distribution to approximate the desired probability. | back 115 C) 0.1210 |

front 116 Use the normal distribution to approximate the desired probability. | back 116 B) 0.0409, no |

front 117 Find the critical value zα/2 that corresponds to a 99% confidence
level. | back 117 C) 2.575 |

front 118 The following confidence interval is obtained for a population
proportion, p: 0.843 < p < 0.875. Use these confidence interval
limits to find the margin of error, E. | back 118 C) 0.016 |

front 119 Assume that a sample is used to estimate a population proportion p.
Find the margin of error E that corresponds to the given statistics
and confidence level. | back 119 D) 0.0619 |

front 120 Assume that a sample is used to estimate a population proportion p.
Find the margin of error E that corresponds to the given statistics
and confidence level. | back 120 B) 0.0104 |

front 121 Assume that a sample is used to estimate a population proportion p.
Find the margin of error E that corresponds to the given statistics
and confidence level. | back 121 C) 0.0315 |

front 122 Use the given degree of confidence and sample data to construct a
confidence interval for the population proportion p. | back 122 D) 0.404 < p < 0.550 |

front 123 find the minimum sample size required | back 123 C) 25,901 |

front 124 find the minimum sample size required | back 124 B) 270 |

front 125 A survey of 865 voters in one state reveals that 408 favor approval
of an issue before the legislature. | back 125 C) 0.438 < p < 0.505 |

front 126 Of 123 adults selected randomly from one town, 26 of them smoke.
| back 126 D) 11.7% < p < 30.6% |

front 127 In a certain population, body weights are normally distributed with a
mean of 152 pounds and a standard deviation of 26 pounds. How many
people must be surveyed if we want to estimate the percentage who
weigh more than 180 pounds? Assume that we want 96% confidence that
the error is no more than 3 percentage points. | back 127 B) 1168 |

front 128 Find the critical value zα/2 that corresponds to a 98% confidence
level. | back 128 D) 2.33 |

front 129 find the margin of error E. | back 129 A) 0.06 oz |

front 130 find a confidence interval for estimating the population μ. | back 130 D) 44.6 < μ < 47.6 |

front 131 48 packages are randomly selected from packages received by a parcel
service. The sample has a mean weight of 10.1 pounds and a standard
deviation of 2.9 pounds. What is the 95% confidence interval for the
true mean weight, μ, of all packages received by the parcel service? | back 131 C) 9.3 lb < μ < 10.9 lb |

front 132 How many women must be randomly selected to estimate the mean weight
of women in one age group. We want 90% confidence that the sample mean
is within 2.7 lb of the population mean, and the population standard
deviation is known to be 22 lb. | back 132 B) 180 |

front 133 find zα/2 or tα/2 | back 133 D) zα/2 = 2.33 |

front 134 95%; n = 11; σ is known; population appears to be very skewed. | back 134 D) Neither the normal nor the t distribution applies. |

front 135 find the margin of error. | back 135 A) 3.06 |

front 136 A savings and loan association needs information concerning the
checking account balances of its local customers. A random sample of
14 accounts was checked and yielded a mean balance of $664.14 and a
standard deviation of $297.29. Find a 98% confidence interval for the
true mean checking account balance for local customers. | back 136 C) $453.59 < μ < $874.69 |

front 137 The football coach randomly selected ten players and timed how long
each player took to perform a certain drill. Determine a 95%
confidence interval for the mean time for all players. | back 137 C) 8.28 min < μ < 10.80 min |

front 138 Identify the null hypothesis, alternative hypothesis, test statistic,
P-value, conclusion about the null hypothesis, and final conclusion
that addresses the original claim. | back 138 H0: p = .03 |

front 139 Identify the null hypothesis, alternative hypothesis, test statistic,
P-value, conclusion about the null hypothesis, and final conclusion
that addresses the original claim. | back 139 H0: p = 0.34 |

front 140 Identify the null hypothesis, alternative hypothesis, test statistic,
P-value, conclusion about the null hypothesis, and final conclusion
that addresses the original claim. | back 140 H0: p = 0.5 |

front 141 Find the P-value for the indicated hypothesis test. | back 141 B) 0.5686 |

front 142 Find the P-value for the indicated hypothesis test. | back 142 D) 0.1492 |

front 143 Identify the null hypothesis, alternative hypothesis, test statistic,
P-value, conclusion about the null hypothesis, and final conclusion
that addresses the original claim. | back 143 H0: μ = 200 |

front 144 Identify the null hypothesis, alternative hypothesis, test statistic,
P-value, conclusion about the null hypothesis, and final conclusion
that addresses the original claim. | back 144 H0: μ = 39.9 |

front 145 Identify the null hypothesis, alternative hypothesis, test statistic,
critical value or P-value, conclusion about the null hypothesis, and
final conclusion that addresses the original claim. | back 145 H0: μ = 72 beats per minute |

front 146 Determine whether the hypothesis test involves a sampling
distribution of means that is a normal distribution, Student t
distribution, or neither. | back 146 B) Student t |

front 147 Assume that a simple random sample has been selected from a normally
distributed population. Find the test statistic, P-value, critical
value(s), and state the final conclusion. | back 147 α = 0.1 |

front 148 Assume that a simple random sample has been selected from a normally
distributed population and test the given claim. | back 148 H0: μ = 160 |

front 149 Assume that a simple random sample has been selected from a normally
distributed population and test the given claim. | back 149 H0: μ = 14 oz. |

front 150 Assume that you plan to use a significance level of α = 0.05 to test
the claim that p1 = p2, Use the given sample sizes and numbers of
successes to find the pooled estimate p. | back 150 D) 0.345 |

front 151 A researcher finds that of 1000 people who said that they attend a religious service at least once a week, 31 stopped to help a person with car trouble. Of 1200 people interviewed who had not attended a religious service at least once a month, 22 stopped to help a person with car trouble. At the 0.05 significance level, test the claim that the two proportions are equal. | back 151 H0: p1 = p2 |

front 152 Seven of 8500 people vaccinated against a certain disease later developed the disease. 18 of 10,000 people vaccinated with a placebo later developed the disease. Test the claim that the vaccine is effective in lowering the incidence of the disease. Use a significance level of 0.02. | back 152 H0: p1 = p2 |

front 153 In a random sample of 300 women, 50% favored stricter gun control
legislation. In a random sample of 200 men, 28% favored stricter gun
control legislation. Construct a 98% confidence interval for the
difference between the population proportions p1 - p2. | back 153 C) 0.120 < p1 - p2 < 0.320 |

front 154 Test the indicated claim about the means of two populations. Assume
that the two samples are independent simple random samples selected
from normally distributed populations. Do not assume that the
population standard deviations are equal. Use the traditional method
or P-value method as indicated. | back 154 H0: μ1 = μ2. |

front 155 Test the indicated claim about the means of two populations. Assume
that the two samples are independent simple random samples selected
from normally distributed populations. Do not assume that the
population standard deviations are equal. Use the traditional method
or P-value method as indicated. | back 155 H0: μ1 = μ2 |

front 156 Construct the indicated confidence interval for the difference
between the two population means. Assume that the two samples are
independent simple random samples selected from normally distributed
populations. Do not assume that the population standard deviations are
equal. | back 156 D) -62 < μ1 - μ2 < -46 |

front 157 A researcher was interested in comparing the amount of time spent
watching television by women and by men. Independent simple random
samples of 14 women and 17 men were selected, and each person was
asked how many hours he or she had watched television during the
previous week. The summary statistics are as follows. | back 157 D) The confidence interval limits include 0 which suggests that the two population means might be equal. There does not appear to be a significant difference between the mean amount of time spent watching television for women and the mean amount of time spent watching television for men. |

front 158 Perform the indicated hypothesis test. Assume that the two samples
are independent simple random samples selected from normally
distributed populations. Also assume that the population standard
deviations are equal (σ1 = σ2), so that the standard error of the
difference between means is obtained by pooling the sample variances . | back 158 H0: μ1 = μ2 |

front 159 Perform the indicated hypothesis test. Assume that the two samples
are independent simple random samples selected from normally
distributed populations. Also assume that the population standard
deviations are equal (σ1 = σ2), so that the standard error of the
difference between means is obtained by pooling the sample variances . | back 159 H0: μ1 = μ2 |

front 160 Construct the indicated confidence interval for the difference
between the two population means. Assume that the two samples are
independent simple random samples selected from normally distributed
populations. Also assume that the population standard deviations are
equal (σ1 = σ2), so that the standard error of the difference between
means is obtained by pooling the sample variances . | back 160 C) -7.18 hrs < μ1 - μ2 < -0.62 hrs |

front 161 Construct the indicated confidence interval for the difference
between the two population means. Assume that the two samples are
independent simple random samples selected from normally distributed
populations. Also assume that the population standard deviations are
equal (σ1 = σ2), so that the standard error of the difference between
means is obtained by pooling the sample variances . | back 161 D) -1.16 hrs < μ1 - μ2 < 7.56 hrs |

front 162 The two data sets are dependent. Find d to the nearest tenth. | back 162 C) 34.4 |

front 163 Find sd. | back 163 D) 9.9 |

front 164 A coach uses a new technique in training middle distance runners. The
times for 9 different athletes to run 800 meters before and after this
training are shown below. | back 164 C) -0.82 < μd < 3.26 |

front 165 A test of abstract reasoning is given to a random sample of students
before and after they completed a formal logic course. The results are
given below. Construct a 95% confidence interval for the mean
difference between the before and after scores. | back 165 A) 0.2 < μd < 7.2 |

front 166 Use the traditional method of hypothesis testing to test the given
claim about the means of two populations. Assume that two dependent
samples have been randomly selected from normally distributed
populations. | back 166 H0: μd = 0. |

front 167 Use the traditional method of hypothesis testing to test the given
claim about the means of two populations. Assume that two dependent
samples have been randomly selected from normally distributed
populations. | back 167 H0: μd = 0. |

front 168 Given the linear correlation coefficient r and the sample size n,
determine the critical values of r and use your finding to state
whether or not the given r represents a significant linear
correlation. Use a significance level of 0.05. | back 168 B) Critical values: r = ±0.396, significant linear correlation |

front 169 Which shows the strongest linear correlation? | back 169 |

front 170 Find the value of the linear correlation coefficient r. | back 170 C) 0.209 |

front 171 Find the value of the linear correlation coefficient r. | back 171 A) 0.224 |

front 172 Suppose you will perform a test to determine whether there is
sufficient evidence to support a claim of a linear correlation between
two variables. Find the critical values of r given the number of pairs
of data n and the significance level α. | back 172 A) r = ±0.661 |

front 173 Describe the error in the stated conclusion. | back 173 Significant correlation does not imply causality. Both variables are affected by a third variable (a lurking variable), namely the population of the town. |

front 174 Describe the error in the stated conclusion. | back 174 Averages suppress individual variation and tend to inflate the correlation coefficient. The fact that there is significant linear correlation between average SAT scores and average incomes in the district does not necessarily imply that there is significant linear correlation between individual SAT scores and family incomes. |

front 175 Describe the error in the stated conclusion. | back 175 Because the linear correlation coefficient is close to zero and is probably not significant, no conclusion can be reached regarding the relationship between scores on the math test and scores on the test of athletic ability. |

front 176 Use the given data to find the best predicted value of the response
variable. | back 176 D) 18.3 |

front 177 Use the given data to find the best predicted value of the response
variable. | back 177 C) 81.1 |

front 178 Use the given data to find the equation of the regression line. Round
the final values to three significant digits, if necessary. | back 178 B) yhat = 3.0x |

front 179 Use the given data to find the equation of the regression line. Round
the final values to three significant digits, if necessary. | back 179 D) yhat = 3.67 + 0.0313x |

front 180 Use the given data to find the equation of the regression line. Round
the final values to three significant digits, if necessary. | back 180 D) yhat = 11.7 + 1.02x |

front 181 Is the data point, P, an outlier, an influential point, both, or
neither? | back 181 A) Both |

front 182 Is the data point, P, an outlier, an influential point, both, or
neither? | back 182 C) Outlier |

front 183 Nine adults were selected at random from among those working full
time in the town of Workington. | back 183 a. yhat = 0.833 + 1.25x |

front 184 The following residual plot is obtained after a regression equation is determined for a set of data. Does the residual plot suggest that the regression equation is a bad model? Why or why not? | back 184 No, the residual plot does not suggest that the regression equation is a bad model. The residual plot does not have an obvious pattern that is not a straight line. This confirms that a scatterplot of the sample data is a straight line. The residual plot does not become thicker or thinner when viewed from left to right. This confirms that for different fixed values of x, the distributions of the corresponding y-values all have the same standard deviation. |