WGU D772 STATISTICAL DATA LITERACY
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📋 DOCUMENT OVERVIEW 92 Qs
This document, "WGU D772 Statistical Data Literacy," covers statistical concepts including population,
sample, parameters, statistics, individuals, variables, and visualizations such as pie charts and bar graphs.
The document provides 92 questions with correct answers and detailed explanations, along with
diagrams and images. Students can use it to study, review, and understand these statistical concepts,
facilitating a comprehensive review and preparation for exams.
✓ Verified Answers ✓ Exam Ready ✓ Study Guide
Trusted by thousands of students and professionals worldwide
EXAM QUESTIONS
QUESTION 1
Population
CORRECT ANSWER
Entire group of things you want to study (all university students across the US)
RATIONALE: In statistics, a population refers to the entire group of individuals or things that you are trying to study or
collect data about, such as all university students across the US, and it represents the entire scope of the phenomenon
being analyzed. The key characteristic of a population is that it is the complete set of units or individuals being considered,
rather than a sample or subset selected from it.
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, QUESTION 2
Sample
CORRECT ANSWER
Smaller group selected from the population (1,000 university students selected from different schools around
the US)
RATIONALE: A sample is a subset of individuals selected from a larger population, and in this case, selecting 1,000
university students from different schools around the US constitutes a sample because it represents a smaller portion of the
overall population. This selection process allows researchers to make inferences about the larger population based on the
characteristics and behaviors of the selected sample.
QUESTION 3
Parameter
CORRECT ANSWER
numerical summary of a population describing characteristics (Average height of adult women in the US)
RATIONALE: A parameter is a numerical characteristic of a population that is being described, such as the average height
of adult women in the US. The key point is that a parameter is a fixed value that describes a population, rather than a
statistic, which is a value that describes a sample.
QUESTION 4
Statistic
CORRECT ANSWER
a numerical measurement describing some characteristic of a sample (Average height of 100 adult women
across the US)
RATIONALE: A numerical measurement describing some characteristic of a sample is the correct answer because it aligns
with the fundamental definition of a statistic, which is a quantitative value derived from a subset of data, such as the
average height of a sample of adult women. This definition emphasizes the focus on a numerical value that describes a
specific characteristic of a group, making it a precise and accurate representation of the concept of a statistic.
QUESTION 5
Individuals
CORRECT ANSWER
objects described by a set of data
RATIONALE: In the context of data or information, the term "individuals" typically refers to unique items or entities, such as
people, objects, or records, that are described by a set of data to provide a complete and accurate representation of their
characteristics. This set of data serves as a unique identifier or descriptor for each individual, distinguishing it from others in
the same collection.
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, QUESTION 6
Variables
CORRECT ANSWER
Characteristics or measurements we are interested in studying
RATIONALE: In the context of research and data analysis, variables refer to the characteristics or measurements that are
being studied to understand a particular phenomenon or relationship. The term "variables" emphasizes that these
characteristics or measurements can change or vary, allowing researchers to explore and analyze their impact on the overall
outcome or relationship of interest.
QUESTION 7
Quantitive Variables
CORRECT ANSWER
variables that can be counted or measured
RATIONALE: Quantitative variables are characterized by their ability to be expressed in numerical terms, which allows for
mathematical operations and comparisons to be performed. This numerical nature enables quantification, making it possible
to count or measure the variable's values, thereby distinguishing it from qualitative variables that cannot be expressed in
numerical form.
QUESTION 8
Data
CORRECT ANSWER
Values of variables
RATIONALE: The question "Data" is referring to the raw information or values stored in a dataset, which are known as the
"values of variables." This is because data consists of individual pieces of information, such as numbers or text, that are
associated with specific variables, which are the categories or labels used to describe the data.
QUESTION 9
Stratified Sampling
CORRECT ANSWER
Dividing a population into distinct subgroups based on specific characteristics.
RATIONALE: This process is correct for Stratified Sampling because it involves dividing a population into distinct subgroups,
known as strata, based on the specific characteristics that are relevant to the study, allowing for more precise
representation of the population. By doing so, researchers can target specific segments of the population, reducing
sampling error and increasing the accuracy of their findings.
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90+ (Latest 2026 Edition) 100% Verified Q&A + Answer Key Solutions
100% Guarantee Pass
📋 DOCUMENT OVERVIEW 92 Qs
This document, "WGU D772 Statistical Data Literacy," covers statistical concepts including population,
sample, parameters, statistics, individuals, variables, and visualizations such as pie charts and bar graphs.
The document provides 92 questions with correct answers and detailed explanations, along with
diagrams and images. Students can use it to study, review, and understand these statistical concepts,
facilitating a comprehensive review and preparation for exams.
✓ Verified Answers ✓ Exam Ready ✓ Study Guide
Trusted by thousands of students and professionals worldwide
EXAM QUESTIONS
QUESTION 1
Population
CORRECT ANSWER
Entire group of things you want to study (all university students across the US)
RATIONALE: In statistics, a population refers to the entire group of individuals or things that you are trying to study or
collect data about, such as all university students across the US, and it represents the entire scope of the phenomenon
being analyzed. The key characteristic of a population is that it is the complete set of units or individuals being considered,
rather than a sample or subset selected from it.
Trusted by thousands of students and professionals worldwide Page 1 of 26
, QUESTION 2
Sample
CORRECT ANSWER
Smaller group selected from the population (1,000 university students selected from different schools around
the US)
RATIONALE: A sample is a subset of individuals selected from a larger population, and in this case, selecting 1,000
university students from different schools around the US constitutes a sample because it represents a smaller portion of the
overall population. This selection process allows researchers to make inferences about the larger population based on the
characteristics and behaviors of the selected sample.
QUESTION 3
Parameter
CORRECT ANSWER
numerical summary of a population describing characteristics (Average height of adult women in the US)
RATIONALE: A parameter is a numerical characteristic of a population that is being described, such as the average height
of adult women in the US. The key point is that a parameter is a fixed value that describes a population, rather than a
statistic, which is a value that describes a sample.
QUESTION 4
Statistic
CORRECT ANSWER
a numerical measurement describing some characteristic of a sample (Average height of 100 adult women
across the US)
RATIONALE: A numerical measurement describing some characteristic of a sample is the correct answer because it aligns
with the fundamental definition of a statistic, which is a quantitative value derived from a subset of data, such as the
average height of a sample of adult women. This definition emphasizes the focus on a numerical value that describes a
specific characteristic of a group, making it a precise and accurate representation of the concept of a statistic.
QUESTION 5
Individuals
CORRECT ANSWER
objects described by a set of data
RATIONALE: In the context of data or information, the term "individuals" typically refers to unique items or entities, such as
people, objects, or records, that are described by a set of data to provide a complete and accurate representation of their
characteristics. This set of data serves as a unique identifier or descriptor for each individual, distinguishing it from others in
the same collection.
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, QUESTION 6
Variables
CORRECT ANSWER
Characteristics or measurements we are interested in studying
RATIONALE: In the context of research and data analysis, variables refer to the characteristics or measurements that are
being studied to understand a particular phenomenon or relationship. The term "variables" emphasizes that these
characteristics or measurements can change or vary, allowing researchers to explore and analyze their impact on the overall
outcome or relationship of interest.
QUESTION 7
Quantitive Variables
CORRECT ANSWER
variables that can be counted or measured
RATIONALE: Quantitative variables are characterized by their ability to be expressed in numerical terms, which allows for
mathematical operations and comparisons to be performed. This numerical nature enables quantification, making it possible
to count or measure the variable's values, thereby distinguishing it from qualitative variables that cannot be expressed in
numerical form.
QUESTION 8
Data
CORRECT ANSWER
Values of variables
RATIONALE: The question "Data" is referring to the raw information or values stored in a dataset, which are known as the
"values of variables." This is because data consists of individual pieces of information, such as numbers or text, that are
associated with specific variables, which are the categories or labels used to describe the data.
QUESTION 9
Stratified Sampling
CORRECT ANSWER
Dividing a population into distinct subgroups based on specific characteristics.
RATIONALE: This process is correct for Stratified Sampling because it involves dividing a population into distinct subgroups,
known as strata, based on the specific characteristics that are relevant to the study, allowing for more precise
representation of the population. By doing so, researchers can target specific segments of the population, reducing
sampling error and increasing the accuracy of their findings.
Trusted by thousands of students and professionals worldwide Page 3 of 26
