Learning from Data 3rd
Edition By Roxy Peck,
Catherine Case (All Chapters
1-16, 100% Original Verified,
A+ Grade)
All Chapters Arranged Reverse: 16-1
This is the Only Original and
Complete Test Bank for 3rd
Edition, All Other Files in The
Market are Fake/Old/Wrong
Edition.
,Name Clas Dat
: s: e:
Chapter 16 - More Than Two Means
1. You’re a traffic engineer planning new transportation infrastructure between two cities. There are three
existing routes: A, B, and C. Travel time on route A varies with traffic, while routes B and C vary with road and
weather conditions. You would like to know if the mean travel times for the three routes are significantly
different. If the mean travel times on routes A, B, and C are , then which of the following null
and alternative hypotheses would accurately express your question?
a.
b.
c.
d.
ANSWER: d
2. You’re an engineer testing the bonding strength of three different adhesives A, B, and C. You measure
average bonding strengths of 100 psi for adhesive A, 110 psi for adhesive B, and 130 psi for adhesive C in a
standard test of five samples per adhesive. The adhesive application and curing processes used cannot be
performed exactly the same for each sample, so you expect variability in bonding strengths. If the mean
bonding strengths for adhesives A, B, and C are , then which of the following null and alternative
hypotheses would accurately express your question?
a.
b.
c.
d.
ANSWER: c
3. The owner of a downtown coffee shop is estimating the sales performance of three different hot beverages
sold in the shop: expresso, green tea, and latte. They sample sales for ten business days and record the number
of sales for each of the three different beverages each day. The sample averages and standard deviations are
shown below:
Expresso: sample mean = 48 sales/day, sample standard deviation = 6 sales/day
Green tea: sample mean = 58 sales/day, sample standard deviation = 12 sales/day
Latte: sample mean = 56 sales/day, sample standard deviation = 16 sales/day
If the mean daily sales for each beverage are expresso = μA, green tea = μB, and latte =μC, then which of the
following null and alternative hypotheses would accurately express your question?
a.
b.
c.
d.
ANSWER: c
4. A researcher wants to find out if the best sprinters on the planet improve the racing time at world
championships in the 100 meters running discipline among men. They consider the results of the final races of
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Chapter 16 - More Than Two Means
the last three world championships and compare the average time in each final racing. The collected data are
shown in the table below:
Choose the correct null and alternative hypothesis which addresses the researcher’s question:
a.
b.
c.
d.
ANSWER: d
5. The two main human blood group systems are the ABO and Resus (Rh) systems. According to the
information from the American Red Cross (http://www.redcrossblood.org), Rhesus Negative blood type is rarer
than Rhesus Positive. A researcher wants to know if the proportion of people with Rh(-) is equal for each ABO
human blood type. To exclude the spread of people through the different ABO types, the researcher generates 10
random samples of equal size (100 people) for each of the ABO types and draws attention to the number of
people with Rh(-). The summary results of the blood test are represented in the table below.
Choose the correct null and alternative hypotheses statements for the F test.
a.
b.
c.
d.
ANSWER: d
6. A professor wants to know whether their students have equally absorbed the learning objectives for the
course. During the term, the professor conducts three in-class tests. The average scores of students were 71.8,
81.5, and 75.8 (out of a maximum of 100 points). Using the information above, answer the question of how the
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Chapter 16 - More Than Two Means
professor should define the difference between the three average in-class test scores.
a. The professor should set the null hypothesis Ho: μ1 ≠ μ2 ≠ μ3 and conduct an F
test.
b. The professor should set the null hypothesis Ho: μ1 = μ2 = μ3 and conduct an F
test.
c. The professor should set the null hypothesis Ho: μ1 = 71.8; μ2 = 81.5, μ3 =
75.8 and conduct an F test.
d. The professor should set the null hypothesis Ho: μ1 ≠ 71.8; μ2 ≠ 81.5, μ3 ≠
75.8 and conduct an F test.
ANSWER: b
7. A graduate student of the college conducted the following research. They considered four consulting
companies and selected 13-15 approximately similar vacancies in each of these companies, which were posted
on the official websites during the last year. The student was interested in the information about the wages
indicated in the vacancies.
Assume that you know that the student decided to conduct an F test to compare the interested values, and draw
the null hypothesis for this test in plain English.
a. The null hypothesis is that the average wages in all consulting companies for a
position of interest are equal.
b.The null hypothesis is that the average wages in the four companies considered
are equal.
c. The null hypothesis is that the average wages in the four samples of vacancies
for a position of interest are equal.
d.The null hypothesis is that the average wages in the four companies considered
for a position of interest are equal.
ANSWER: d
8. You’re evaluating the outcomes of the three different treatments in an experiment. You have sample means
and standard deviations for each treatment and would like to use the ANOVA F test to determine whether or not
there are significant differences between the means. Which of the following must be true for you to use the
ANOVA F test in this situation?
I) Each of the three treatment response distributions is normal
II) The standard deviations for the normal distributions for all three treatments are the same
III) The observations in any particular treatment are independent of one another
IV) The random samples from each of the treatments are selected independently of the other treatments.
a. I and II only
b. II and III only
c. I, II, and III only
d. I, II, III, and IV only
ANSWER: d
9. You’re evaluating the responses to a survey sent to students from four different universities. You’re interested in
whether the survey responses indicate differences in the population means of students at each university. Which of the
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