, TESTBANK FOR Statistics Fourth Edition Lock
Important Notes
The file organized chapter by chapter.
A sample of selected pages has been provided for preview.
All available appendices and Excel files (if included in the original resources) are
provided.
We continuously update our files to ensure you receive the latest and most accurate
editions.
New editions are added regularly – stay connected for updates!
⚠️Note on Answer Keys: If the answer key is not included within the chapter
questions, you will find the complete answers and solutions at the end of each
chapter.
✅ Why Buy From Us?
📚 Complete & organized chapter-by-chapter – no missing content, no guessing.
⚡ Instant digital delivery – get your file the moment you pay, no waiting.
📅 Always up to date – we track new editions so you always get the latest version.
💬 Friendly support – real humans ready to help, anytime you need us.
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correct version, free of charge.
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,Statistics - Unlocking the Power of Data, 3e (Lock)
Chapter 1 Collecting Data
1.1 The Structure of Data
Use the following to answer the questions below:
A high school senior is collecting data on the colleges in which she is interested. Identify the
variables as either categorical or quantitative.
1) Type of college: Private or Public college
Answer: Categorical
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
2) Tuition: in thousands of dollars
Answer: Quantitative
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
3) State: the state in which the college is located
Answer: Categorical
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
4) Zip Code: the zip code of the part of the country in which the college is located
Answer: Categorical
Diff: 2 Type: SA Var: 1
L.O.: 1.1.2
5) Enrollment: the number of students enrolled at the college
Answer: Quantitative
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
6) Student-Faculty Ratio: the number of students divided by the number of faculty
Answer: Quantitative
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
7) Graduation Rate: as a percentage
Answer: Quantitative
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
1
,Use the following to answer the questions below:
A high school senior is collecting data on the colleges in which she is interested, including
the following variables: Type of college, Tuition, State, Enrollment, Student-Faculty Ratio,
Graduation Rate
8) What are the cases in the high school senior's dataset?
A) Colleges
B) Tuition
C) Graduation Rate
D) State
Answer: A
Diff: 2 Type: BI Var: 1
L.O.: 1.1.1
9) Refer to the variables collected by the high school senior looking at colleges. Identify a
question we might ask about any one of these individual variables.
Answer: Answers will vary. Some possible answers include:
Type of college: Is she considering more private schools than public schools?
Tuition: What is the average tuition of the colleges she is considering? What is the "cheapest"
school she is considering? What is the most expensive school she is considering?
State: Is there a state that she seems to prefer?
Enrollment: What is the average size of the colleges she is considering? What is the largest
college she is considering? What is the largest college she is considering?
Student-Faculty Ratio: What is the average SF ratio for the schools she is considering? What is
the smallest SF ratio for the schools she is considering? What is the largest SF ratio for the
schools she is considering?
Graduation Rate: What is the average graduation rate for the schools she is considering? What is
the lowest graduation rate for the schools she is considering? What is the highest graduation rate
for the schools she is considering?
Diff: 2 Type: ES Var: 1
L.O.: 1.1.4;1.1.5
10) Refer to the variables collected by the high school senior looking at colleges. Identify a
question that we might ask about relationships between any two (or more) of these variables.
Answer: Answers will vary. Some possible answers include:
Which type of schools tend to cost more, the private or the public schools?
Which type of schools tend to have the higher graduation rate, the private or public schools?
Which type of schools tend to have the lower student-faculty ratio, the private or public schools?
Which state is the most expensive?
Can student-faculty ratio be used to predict tuition?
Can graduation rate be used to predict tuition?
Can enrollment be used to predict tuition?
Diff: 2 Type: ES Var: 1
L.O.: 1.1.4;1.1.5
2
,Use the following to answer the questions below:
A realtor's website provides information on area homes that are for sale. Identify each of
the variables as either categorical or quantitative.
11) List Price: amount, in thousands of dollars, for which the house is being sold
Answer: Quantitative
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
12) School District: the school district in which the home is located
Answer: Categorical
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
13) Size: in square feet
Answer: Quantitative
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
14) Style: the style of home (ranch, Cape Cod, Victorian, etc.)
Answer: Categorical
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
Use the following to answer the questions below:
A realtor's website provides information on area homes that are for sale, including the
following variables: List Price, School District, Size, Style.
15) What are the cases in the realtor's dataset?
A) Individual houses
B) List Price
C) Size
D) Style
Answer: A
Diff: 2 Type: BI Var: 1
L.O.: 1.1.1
3
,16) Refer to the variables provided by the realtor. Identify a question we might ask about any one
of these individual variables.
Answer: Answers will vary. Some possible answers include:
List Price: What is the average list price of homes for sale in the area? What is the least
expensive home for sale in the area? What is the most expensive home for sale in the area?
School District: In which school district are most of the homes located?
Size: What is the average size of homes for sales in the area? What is the largest home for sale in
the area? What is the smallest home for sale in the area?
Style: What style of home is most popular (or for sale the most) in this area?
Diff: 2 Type: ES Var: 1
L.O.: 1.1.4;1.1.5
17) Refer to the variables provided by the realtor. Identify a question that we might ask about
relationships between any two (or more) of these variables.
Answer: Answers will vary. Some possible answers include
Does the price of the home depend on the school district (i.e., does one tend to cost more than
others?)?
Which style of home tends to cost the most?
Do larger homes tend to cost more than smaller homes?
Diff: 2 Type: ES Var: 1
L.O.: 1.1.4;1.1.5
Use the following to answer the questions below:
The USStates dataset, used throughout the textbook, contains information on the 50 U.S.
states. A small segment from the dataset is displayed in the following table.
18) What are the cases in this dataset?
A) States
B) Percent of residents with a college degree
C) Residents
D) USStates dataset
Answer: A
Diff: 1 Type: BI Var: 1
L.O.: 1.1.1
4
,19) What variable from this dataset is displayed? Is it categorical or quantitative?
A) Variable = Percent of state residents with a college degree. This is a quantitative variable.
B) Variable = Percent of state residents with a college degree. This is a categorical variable.
C) Variable = State. This is a quantitative variable.
D) Variable = State. This is a categorical variable.
Answer: A
Diff: 1 Type: BI Var: 1
L.O.: 1.1.1;1.1.2
20) Data from the state of Connecticut were used to determine that 42.7% of state residents had a
college degree. What were the cases from Connecticut used to arrive at this figure?
A) Residents of Connecticut
B) The state of Connecticut
C) 42.7 percent of the Connecticut residents with a college degree
D) The residents of California, Colorado, and Connecticut
Answer: A
Diff: 3 Type: BI Var: 1
L.O.: 1.1.1
21) What variable was used to determine that 42.7% of Connecticut state residents have a college
degree? Is it categorical or quantitative?
A) Variable = whether or not they have a college degree. This is a categorical variable.
B) Variable = whether or not they have a college degree. This is a quantitative variable.
C) Variable = what state they are from. This is a categorical variable.
D) Variable = what state they are from. This is a quantitative variable.
Answer: A
Diff: 3 Type: BI Var: 1
L.O.: 1.1.1;1.1.2
22) The ________ variable is used to understand or predict values of the ________ variable.
A) Blank 1 = Explanatory, Blank 2 = Response
B) Blank 1 = Response, Blank 2 = Explanatory
C) Blank 1 = Categorical, Blank 2 = Quantitative
D) Blank 1 = Quantitative, Blank 2 = Categorical
Answer: A
Diff: 2 Type: BI Var: 1
L.O.: 1.1.3
1.2 Sampling from a Population
1) A population includes all individuals or objects of interest.
Answer: TRUE
Diff: 1 Type: TF Var: 1
L.O.: 1.2.1
5
,2) A population is a subset of the sample.
Answer: FALSE
Diff: 1 Type: TF Var: 1
L.O.: 1.2.1
3) A biased sample is one that does not accurately reflect or represent the population.
Answer: TRUE
Diff: 1 Type: TF Var: 1
L.O.: 1.2.0
Use the following to answer the questions below:
State whether the data are best described as a population or a sample.
4) The makers of M&M's state that when they package their candies they thoroughly mix the
colored candies together and randomly put them into packages. A student purchases a bag of
Milk Chocolate M&M's from the vending machine.
A) Sample
B) Population
Answer: A
Diff: 1 Type: BI Var: 1
L.O.: 1.2.1
5) A professor wants to schedule a review session for an exam. He asks all students enrolled in
the course their preferred time, and they all respond.
A) Population
B) Sample
Answer: A
Explanation: Population - he collects data from everyone enrolled in the course
Diff: 2 Type: BI Var: 1
L.O.: 1.2.1
6) A researcher has identified a beach with a substantial number of driftwood logs. She randomly
chooses 30 logs and takes core samples from those logs.
A) Sample
B) Population
Answer: A
Explanation: Sample. She has only measured a subset of all of the logs on the beach.
Diff: 2 Type: BI Var: 1
L.O.: 1.2.1
6
,7) A football fan recorded the number of rushing yards for all NFL running backs who played
last season.
A) Population
B) Sample
Answer: A
Explanation: Population. The data were collected on all of the running backs.
Diff: 2 Type: BI Var: 1
L.O.: 1.2.1
Use the following to answer the questions below:
A tree enthusiast is interested in estimating the typical length of oak tree leaves. He chooses
30 leaves from the oak tree in his backyard.
8) What is the sample in this situation?
Answer: 30 leaves selected from this oak tree
Diff: 2 Type: ES Var: 1
L.O.: 1.2.1
9) What is the population in which the tree enthusiast is interested?
Answer: All oak tree leaves
Diff: 2 Type: ES Var: 1
L.O.: 1.2.1
10) Is this a biased sampling strategy?
A) Yes
B) No
Answer: A
Explanation: This is a biased sampling strategy as he is only taking the leaves from one tree;
there could be something unusual about that tree. At best we can generalize to the leaves on the
tree in his backyard.
Diff: 2 Type: MC Var: 1
L.O.: 1.2.2;1.2.3
In each situation, indicate whether the method of data collection is biased.
11) Ask the students at the gym on a Tuesday afternoon how many hours a week they work out
to estimate the average amount of time students at the university work out.
A) Biased
B) Not biased
Answer: A
Explanation: Biased, because only students at the gym (who are likely working out) were
sampled. Students who don't go to the gym (and thus possibly don't work out) were not included
in the sample. Another potential source of bias is that, for various reasons, the students asked the
question may exaggerate about the amount of time they work out each week.
Diff: 1 Type: BI Var: 1
L.O.: 1.2.2;1.2.3;1.2.4;1.2.5
7
, 12) A professor asks her class of first year students if any of them consumed alcohol over the
weekend.
A) Biased
B) Not biased
Answer: A
Explanation: This sample is likely biased. First year students would tend to be under the age of
21, and thus it would be illegal for them to be consuming alcohol. They might not want to
truthfully tell their professor about engaging in an illegal behavior.
Diff: 1 Type: BI Var: 1
L.O.: 1.2.2;1.2.3;1.2.4;1.2.5
13) A campus bookstore is holding a drawing to give away five free textbooks (one per student).
Students enter the contest by writing their name and contact information on an index card. The
index cards were placed in a bowl, thoroughly mixed around, and five cards were selected. Those
five students were contacted and received their free textbook.
A) Not biased
B) Biased
Answer: A
Explanation: This is a non-biased sample of the students who entered the contest (the
population in this situation is the student who entered the contest).
Diff: 3 Type: BI Var: 1
L.O.: 1.2.2;1.2.3;1.2.4
14) A professor is considering a new textbook for her introductory statistics class. She wants to
choose a book that emphasizes graphing data. A book that she is considering has 530 pages. To
estimate the proportion of pages in the book that have displays of data, she randomly generates
20 numbers between 1 and 530. She then records whether or not each selected page contains
displays of data.
A) Not biased
B) Biased
Answer: A
Explanation: Her pages were selected by generating random numbers. This is an unbiased
sampling method.
Diff: 1 Type: BI Var: 1
L.O.: 1.2.2;1.2.3;1.2.4
15) A reporter from the campus newspaper is writing an article about student opinions on Greek
organizations (sororities and fraternities). For his article, he visits all of the Greek houses on
campus and interviews a random sample of residents of each house.
A) Biased
B) Not biased
Answer: A
Explanation: His sample only contains individuals who have chosen to participate in Greek
life, and this the opinions will be biased towards the individuals who choose to belong to a Greek
organization.
Diff: 1 Type: BI Var: 1
L.O.: 1.2.2;1.2.3;1.2.4
8
Important Notes
The file organized chapter by chapter.
A sample of selected pages has been provided for preview.
All available appendices and Excel files (if included in the original resources) are
provided.
We continuously update our files to ensure you receive the latest and most accurate
editions.
New editions are added regularly – stay connected for updates!
⚠️Note on Answer Keys: If the answer key is not included within the chapter
questions, you will find the complete answers and solutions at the end of each
chapter.
✅ Why Buy From Us?
📚 Complete & organized chapter-by-chapter – no missing content, no guessing.
⚡ Instant digital delivery – get your file the moment you pay, no waiting.
📅 Always up to date – we track new editions so you always get the latest version.
💬 Friendly support – real humans ready to help, anytime you need us.
🔒 Safe & secure – thousands of satisfied students trust us every semester.
🛡️Our Guarantees
💰 Money-Back Guarantee: Not satisfied? We offer a full refund – no questions asked.
🔄 Wrong File? No Problem: Contact us and we will replace it immediately with the
correct version, free of charge.
⏰ 24/7 Support: We are always here – reach out anytime and expect a fast response.
,Statistics - Unlocking the Power of Data, 3e (Lock)
Chapter 1 Collecting Data
1.1 The Structure of Data
Use the following to answer the questions below:
A high school senior is collecting data on the colleges in which she is interested. Identify the
variables as either categorical or quantitative.
1) Type of college: Private or Public college
Answer: Categorical
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
2) Tuition: in thousands of dollars
Answer: Quantitative
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
3) State: the state in which the college is located
Answer: Categorical
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
4) Zip Code: the zip code of the part of the country in which the college is located
Answer: Categorical
Diff: 2 Type: SA Var: 1
L.O.: 1.1.2
5) Enrollment: the number of students enrolled at the college
Answer: Quantitative
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
6) Student-Faculty Ratio: the number of students divided by the number of faculty
Answer: Quantitative
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
7) Graduation Rate: as a percentage
Answer: Quantitative
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
1
,Use the following to answer the questions below:
A high school senior is collecting data on the colleges in which she is interested, including
the following variables: Type of college, Tuition, State, Enrollment, Student-Faculty Ratio,
Graduation Rate
8) What are the cases in the high school senior's dataset?
A) Colleges
B) Tuition
C) Graduation Rate
D) State
Answer: A
Diff: 2 Type: BI Var: 1
L.O.: 1.1.1
9) Refer to the variables collected by the high school senior looking at colleges. Identify a
question we might ask about any one of these individual variables.
Answer: Answers will vary. Some possible answers include:
Type of college: Is she considering more private schools than public schools?
Tuition: What is the average tuition of the colleges she is considering? What is the "cheapest"
school she is considering? What is the most expensive school she is considering?
State: Is there a state that she seems to prefer?
Enrollment: What is the average size of the colleges she is considering? What is the largest
college she is considering? What is the largest college she is considering?
Student-Faculty Ratio: What is the average SF ratio for the schools she is considering? What is
the smallest SF ratio for the schools she is considering? What is the largest SF ratio for the
schools she is considering?
Graduation Rate: What is the average graduation rate for the schools she is considering? What is
the lowest graduation rate for the schools she is considering? What is the highest graduation rate
for the schools she is considering?
Diff: 2 Type: ES Var: 1
L.O.: 1.1.4;1.1.5
10) Refer to the variables collected by the high school senior looking at colleges. Identify a
question that we might ask about relationships between any two (or more) of these variables.
Answer: Answers will vary. Some possible answers include:
Which type of schools tend to cost more, the private or the public schools?
Which type of schools tend to have the higher graduation rate, the private or public schools?
Which type of schools tend to have the lower student-faculty ratio, the private or public schools?
Which state is the most expensive?
Can student-faculty ratio be used to predict tuition?
Can graduation rate be used to predict tuition?
Can enrollment be used to predict tuition?
Diff: 2 Type: ES Var: 1
L.O.: 1.1.4;1.1.5
2
,Use the following to answer the questions below:
A realtor's website provides information on area homes that are for sale. Identify each of
the variables as either categorical or quantitative.
11) List Price: amount, in thousands of dollars, for which the house is being sold
Answer: Quantitative
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
12) School District: the school district in which the home is located
Answer: Categorical
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
13) Size: in square feet
Answer: Quantitative
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
14) Style: the style of home (ranch, Cape Cod, Victorian, etc.)
Answer: Categorical
Diff: 1 Type: SA Var: 1
L.O.: 1.1.2
Use the following to answer the questions below:
A realtor's website provides information on area homes that are for sale, including the
following variables: List Price, School District, Size, Style.
15) What are the cases in the realtor's dataset?
A) Individual houses
B) List Price
C) Size
D) Style
Answer: A
Diff: 2 Type: BI Var: 1
L.O.: 1.1.1
3
,16) Refer to the variables provided by the realtor. Identify a question we might ask about any one
of these individual variables.
Answer: Answers will vary. Some possible answers include:
List Price: What is the average list price of homes for sale in the area? What is the least
expensive home for sale in the area? What is the most expensive home for sale in the area?
School District: In which school district are most of the homes located?
Size: What is the average size of homes for sales in the area? What is the largest home for sale in
the area? What is the smallest home for sale in the area?
Style: What style of home is most popular (or for sale the most) in this area?
Diff: 2 Type: ES Var: 1
L.O.: 1.1.4;1.1.5
17) Refer to the variables provided by the realtor. Identify a question that we might ask about
relationships between any two (or more) of these variables.
Answer: Answers will vary. Some possible answers include
Does the price of the home depend on the school district (i.e., does one tend to cost more than
others?)?
Which style of home tends to cost the most?
Do larger homes tend to cost more than smaller homes?
Diff: 2 Type: ES Var: 1
L.O.: 1.1.4;1.1.5
Use the following to answer the questions below:
The USStates dataset, used throughout the textbook, contains information on the 50 U.S.
states. A small segment from the dataset is displayed in the following table.
18) What are the cases in this dataset?
A) States
B) Percent of residents with a college degree
C) Residents
D) USStates dataset
Answer: A
Diff: 1 Type: BI Var: 1
L.O.: 1.1.1
4
,19) What variable from this dataset is displayed? Is it categorical or quantitative?
A) Variable = Percent of state residents with a college degree. This is a quantitative variable.
B) Variable = Percent of state residents with a college degree. This is a categorical variable.
C) Variable = State. This is a quantitative variable.
D) Variable = State. This is a categorical variable.
Answer: A
Diff: 1 Type: BI Var: 1
L.O.: 1.1.1;1.1.2
20) Data from the state of Connecticut were used to determine that 42.7% of state residents had a
college degree. What were the cases from Connecticut used to arrive at this figure?
A) Residents of Connecticut
B) The state of Connecticut
C) 42.7 percent of the Connecticut residents with a college degree
D) The residents of California, Colorado, and Connecticut
Answer: A
Diff: 3 Type: BI Var: 1
L.O.: 1.1.1
21) What variable was used to determine that 42.7% of Connecticut state residents have a college
degree? Is it categorical or quantitative?
A) Variable = whether or not they have a college degree. This is a categorical variable.
B) Variable = whether or not they have a college degree. This is a quantitative variable.
C) Variable = what state they are from. This is a categorical variable.
D) Variable = what state they are from. This is a quantitative variable.
Answer: A
Diff: 3 Type: BI Var: 1
L.O.: 1.1.1;1.1.2
22) The ________ variable is used to understand or predict values of the ________ variable.
A) Blank 1 = Explanatory, Blank 2 = Response
B) Blank 1 = Response, Blank 2 = Explanatory
C) Blank 1 = Categorical, Blank 2 = Quantitative
D) Blank 1 = Quantitative, Blank 2 = Categorical
Answer: A
Diff: 2 Type: BI Var: 1
L.O.: 1.1.3
1.2 Sampling from a Population
1) A population includes all individuals or objects of interest.
Answer: TRUE
Diff: 1 Type: TF Var: 1
L.O.: 1.2.1
5
,2) A population is a subset of the sample.
Answer: FALSE
Diff: 1 Type: TF Var: 1
L.O.: 1.2.1
3) A biased sample is one that does not accurately reflect or represent the population.
Answer: TRUE
Diff: 1 Type: TF Var: 1
L.O.: 1.2.0
Use the following to answer the questions below:
State whether the data are best described as a population or a sample.
4) The makers of M&M's state that when they package their candies they thoroughly mix the
colored candies together and randomly put them into packages. A student purchases a bag of
Milk Chocolate M&M's from the vending machine.
A) Sample
B) Population
Answer: A
Diff: 1 Type: BI Var: 1
L.O.: 1.2.1
5) A professor wants to schedule a review session for an exam. He asks all students enrolled in
the course their preferred time, and they all respond.
A) Population
B) Sample
Answer: A
Explanation: Population - he collects data from everyone enrolled in the course
Diff: 2 Type: BI Var: 1
L.O.: 1.2.1
6) A researcher has identified a beach with a substantial number of driftwood logs. She randomly
chooses 30 logs and takes core samples from those logs.
A) Sample
B) Population
Answer: A
Explanation: Sample. She has only measured a subset of all of the logs on the beach.
Diff: 2 Type: BI Var: 1
L.O.: 1.2.1
6
,7) A football fan recorded the number of rushing yards for all NFL running backs who played
last season.
A) Population
B) Sample
Answer: A
Explanation: Population. The data were collected on all of the running backs.
Diff: 2 Type: BI Var: 1
L.O.: 1.2.1
Use the following to answer the questions below:
A tree enthusiast is interested in estimating the typical length of oak tree leaves. He chooses
30 leaves from the oak tree in his backyard.
8) What is the sample in this situation?
Answer: 30 leaves selected from this oak tree
Diff: 2 Type: ES Var: 1
L.O.: 1.2.1
9) What is the population in which the tree enthusiast is interested?
Answer: All oak tree leaves
Diff: 2 Type: ES Var: 1
L.O.: 1.2.1
10) Is this a biased sampling strategy?
A) Yes
B) No
Answer: A
Explanation: This is a biased sampling strategy as he is only taking the leaves from one tree;
there could be something unusual about that tree. At best we can generalize to the leaves on the
tree in his backyard.
Diff: 2 Type: MC Var: 1
L.O.: 1.2.2;1.2.3
In each situation, indicate whether the method of data collection is biased.
11) Ask the students at the gym on a Tuesday afternoon how many hours a week they work out
to estimate the average amount of time students at the university work out.
A) Biased
B) Not biased
Answer: A
Explanation: Biased, because only students at the gym (who are likely working out) were
sampled. Students who don't go to the gym (and thus possibly don't work out) were not included
in the sample. Another potential source of bias is that, for various reasons, the students asked the
question may exaggerate about the amount of time they work out each week.
Diff: 1 Type: BI Var: 1
L.O.: 1.2.2;1.2.3;1.2.4;1.2.5
7
, 12) A professor asks her class of first year students if any of them consumed alcohol over the
weekend.
A) Biased
B) Not biased
Answer: A
Explanation: This sample is likely biased. First year students would tend to be under the age of
21, and thus it would be illegal for them to be consuming alcohol. They might not want to
truthfully tell their professor about engaging in an illegal behavior.
Diff: 1 Type: BI Var: 1
L.O.: 1.2.2;1.2.3;1.2.4;1.2.5
13) A campus bookstore is holding a drawing to give away five free textbooks (one per student).
Students enter the contest by writing their name and contact information on an index card. The
index cards were placed in a bowl, thoroughly mixed around, and five cards were selected. Those
five students were contacted and received their free textbook.
A) Not biased
B) Biased
Answer: A
Explanation: This is a non-biased sample of the students who entered the contest (the
population in this situation is the student who entered the contest).
Diff: 3 Type: BI Var: 1
L.O.: 1.2.2;1.2.3;1.2.4
14) A professor is considering a new textbook for her introductory statistics class. She wants to
choose a book that emphasizes graphing data. A book that she is considering has 530 pages. To
estimate the proportion of pages in the book that have displays of data, she randomly generates
20 numbers between 1 and 530. She then records whether or not each selected page contains
displays of data.
A) Not biased
B) Biased
Answer: A
Explanation: Her pages were selected by generating random numbers. This is an unbiased
sampling method.
Diff: 1 Type: BI Var: 1
L.O.: 1.2.2;1.2.3;1.2.4
15) A reporter from the campus newspaper is writing an article about student opinions on Greek
organizations (sororities and fraternities). For his article, he visits all of the Greek houses on
campus and interviews a random sample of residents of each house.
A) Biased
B) Not biased
Answer: A
Explanation: His sample only contains individuals who have chosen to participate in Greek
life, and this the opinions will be biased towards the individuals who choose to belong to a Greek
organization.
Diff: 1 Type: BI Var: 1
L.O.: 1.2.2;1.2.3;1.2.4
8
