Test Bank For
Introductory Statistics Exploring the World Through Data, Canadian Edition, 1st edition Robert
N. Gould Colleen Ryan Jim Stallard Michelle Boué
Chapters 1-14
1.1 What Are Data?
1 Identify questions to consider when determining the context of a data set.
Answer the question.
1) Data can be defined as numbers in context. Suppose you are given the following set of
numbers:
1.73, 1.83, 1.57, 1.88, 1.70, 1.65
What additional information would allow you to define these numbers as data?
A) Units of measurement. This could represent the heights of six 5-year-olds, in metres.
B) Units of measurement. This could represent the heights of six 20-year-olds, in metres.
C) We need to know where these numbers were collected.
D) We need to know who collected these numbers.
Answer: B
Type: MC Var: 1
Objective: (1.1) Identify questions to consider when determining the context of a data set.
2) Data can be defined as numbers in context. Suppose you are given the following set of
numbers:
18, 22, 22, 20, 19, 21
What additional information would allow you to define these numbers as data?
A) We need to know where these numbers were collected.
B) We need to know who collected these numbers.
C) Units of measurement. This could represent the ages of six high-school students.
D) Units of measurement. This could represent the ages of six college students.
Answer: D
Type: MC Var: 1
Objective: (1.1) Identify questions to consider when determining the context of a data set.
3) Give an example of how data could be collected about you on a daily basis.
Answer: Answers will vary. Examples might include: Facebook postings, Twitter tweets,
Instagram photos, emails sent/received, credit/debit card swipes, GPS, text messaging, etc.
Type: SA Var: 1
Objective: (1.1) Identify questions to consider when determining the context of a data set.
,1.2 Classifying and Storing Data
1 Identify questions to consider when determining the context of a data set.
Solve the problem.
1) A statistics student collected data from other students in her class who ride a bike to school.
The following table shows data about their bikes:
How many variables are there?
A) 5
B) 4
C) 20
D) 7
Answer: A
Type: BI Var: 50+
Objective: (1.2) Identify questions to consider when determining the context of a data set.
2) A statistics student collected data from other students in her class who ride a bike to school.
The following table shows data about their bikes:
Observations were made on how many bikes?
A) 4
B) 5
C) 20
D) 7
Answer: A
Type: BI Var: 50+
Objective: (1.2) Identify questions to consider when determining the context of a data set.
,3) In a recent school poll, the administrators asked if students were satisfied with the school's
course offerings. What is the population of interest here?
A) All students who are satisfied with the course offerings
B) All students who are not satisfied with the course offerings
C) All students who attend the school
D) All students who participated in the poll
Answer: C
Type: MC Var: 1
Objective: (1.2) Identify questions to consider when determining the context of a data set.
4) In a recent high-school poll, the principal asked if students were satisfied with the amount of
after-school activities offered. What is the population of interest here?
A) All students who attend the school
B) All students who participated in the poll
C) All students who are satisfied with the amount of after-school activities that are offered
D) All students who are not satisfied with the amount of after-school activities that are offered
Answer: A
Type: MC Var: 1
Objective: (1.2) Identify questions to consider when determining the context of a data set.
5) In a recent survey at the University of Alberta, some incoming first-year students were asked
if they planned to take more than one math class before they graduated. What is the population of
interest here and what is the sample?
Answer: The population is the entire first-year class at the University of Alberta. The sample
includes the particular first-year who participated in the survey.
Type: SA Var: 1
Objective: (1.2) Identify questions to consider when determining the context of a data set.
2 Distinguish between numerical and categorical variables and apply methods for coding
categorical variables.
Solve the problem.
1) The average gas mileage of the top selling mini-vans for each U.S. car manufacturer is an
example of what type of variable?
A) Numerical variable
B) Categorical variable
C) Neither
Answer: A
Type: MC Var: 1
Objective: (1.2) Distinguish between numerical and categorical variables and apply methods for
coding categorical variables.
, 2) The comments of a provincial Premier about the dangers of global warming are an example of
what type of variable?
A) Numerical variable
B) Categorical variable
C) Neither
Answer: C
Type: MC Var: 1
Objective: (1.2) Distinguish between numerical and categorical variables and apply methods for
coding categorical variables.
3) Marital status of each member of a randomly selected group of adults is an example of what
type of variable?
A) Numerical variable
B) Categorical variable
C) Neither
Answer: B
Type: MC Var: 1
Objective: (1.2) Distinguish between numerical and categorical variables and apply methods for
coding categorical variables.
4) The ethnicity of the individual respondents in a political poll of a randomly selected group of
adults is an example of what type of variable?
A) Numerical variable
B) Categorical variable
C) Neither
Answer: B
Type: MC Var: 1
Objective: (1.2) Distinguish between numerical and categorical variables and apply methods for
coding categorical variables.
5) The average number of hours spent completing statistics homework for a randomly selected
group of statistics students is an example of what type of variable?
A) Numerical variable
B) Categorical variable
C) Neither
Answer: A
Type: MC Var: 1
Objective: (1.2) Distinguish between numerical and categorical variables and apply methods for
coding categorical variables.
Introductory Statistics Exploring the World Through Data, Canadian Edition, 1st edition Robert
N. Gould Colleen Ryan Jim Stallard Michelle Boué
Chapters 1-14
1.1 What Are Data?
1 Identify questions to consider when determining the context of a data set.
Answer the question.
1) Data can be defined as numbers in context. Suppose you are given the following set of
numbers:
1.73, 1.83, 1.57, 1.88, 1.70, 1.65
What additional information would allow you to define these numbers as data?
A) Units of measurement. This could represent the heights of six 5-year-olds, in metres.
B) Units of measurement. This could represent the heights of six 20-year-olds, in metres.
C) We need to know where these numbers were collected.
D) We need to know who collected these numbers.
Answer: B
Type: MC Var: 1
Objective: (1.1) Identify questions to consider when determining the context of a data set.
2) Data can be defined as numbers in context. Suppose you are given the following set of
numbers:
18, 22, 22, 20, 19, 21
What additional information would allow you to define these numbers as data?
A) We need to know where these numbers were collected.
B) We need to know who collected these numbers.
C) Units of measurement. This could represent the ages of six high-school students.
D) Units of measurement. This could represent the ages of six college students.
Answer: D
Type: MC Var: 1
Objective: (1.1) Identify questions to consider when determining the context of a data set.
3) Give an example of how data could be collected about you on a daily basis.
Answer: Answers will vary. Examples might include: Facebook postings, Twitter tweets,
Instagram photos, emails sent/received, credit/debit card swipes, GPS, text messaging, etc.
Type: SA Var: 1
Objective: (1.1) Identify questions to consider when determining the context of a data set.
,1.2 Classifying and Storing Data
1 Identify questions to consider when determining the context of a data set.
Solve the problem.
1) A statistics student collected data from other students in her class who ride a bike to school.
The following table shows data about their bikes:
How many variables are there?
A) 5
B) 4
C) 20
D) 7
Answer: A
Type: BI Var: 50+
Objective: (1.2) Identify questions to consider when determining the context of a data set.
2) A statistics student collected data from other students in her class who ride a bike to school.
The following table shows data about their bikes:
Observations were made on how many bikes?
A) 4
B) 5
C) 20
D) 7
Answer: A
Type: BI Var: 50+
Objective: (1.2) Identify questions to consider when determining the context of a data set.
,3) In a recent school poll, the administrators asked if students were satisfied with the school's
course offerings. What is the population of interest here?
A) All students who are satisfied with the course offerings
B) All students who are not satisfied with the course offerings
C) All students who attend the school
D) All students who participated in the poll
Answer: C
Type: MC Var: 1
Objective: (1.2) Identify questions to consider when determining the context of a data set.
4) In a recent high-school poll, the principal asked if students were satisfied with the amount of
after-school activities offered. What is the population of interest here?
A) All students who attend the school
B) All students who participated in the poll
C) All students who are satisfied with the amount of after-school activities that are offered
D) All students who are not satisfied with the amount of after-school activities that are offered
Answer: A
Type: MC Var: 1
Objective: (1.2) Identify questions to consider when determining the context of a data set.
5) In a recent survey at the University of Alberta, some incoming first-year students were asked
if they planned to take more than one math class before they graduated. What is the population of
interest here and what is the sample?
Answer: The population is the entire first-year class at the University of Alberta. The sample
includes the particular first-year who participated in the survey.
Type: SA Var: 1
Objective: (1.2) Identify questions to consider when determining the context of a data set.
2 Distinguish between numerical and categorical variables and apply methods for coding
categorical variables.
Solve the problem.
1) The average gas mileage of the top selling mini-vans for each U.S. car manufacturer is an
example of what type of variable?
A) Numerical variable
B) Categorical variable
C) Neither
Answer: A
Type: MC Var: 1
Objective: (1.2) Distinguish between numerical and categorical variables and apply methods for
coding categorical variables.
, 2) The comments of a provincial Premier about the dangers of global warming are an example of
what type of variable?
A) Numerical variable
B) Categorical variable
C) Neither
Answer: C
Type: MC Var: 1
Objective: (1.2) Distinguish between numerical and categorical variables and apply methods for
coding categorical variables.
3) Marital status of each member of a randomly selected group of adults is an example of what
type of variable?
A) Numerical variable
B) Categorical variable
C) Neither
Answer: B
Type: MC Var: 1
Objective: (1.2) Distinguish between numerical and categorical variables and apply methods for
coding categorical variables.
4) The ethnicity of the individual respondents in a political poll of a randomly selected group of
adults is an example of what type of variable?
A) Numerical variable
B) Categorical variable
C) Neither
Answer: B
Type: MC Var: 1
Objective: (1.2) Distinguish between numerical and categorical variables and apply methods for
coding categorical variables.
5) The average number of hours spent completing statistics homework for a randomly selected
group of statistics students is an example of what type of variable?
A) Numerical variable
B) Categorical variable
C) Neither
Answer: A
Type: MC Var: 1
Objective: (1.2) Distinguish between numerical and categorical variables and apply methods for
coding categorical variables.
