1
WGU D467 Exploring Data Test Bank
Actual Exam 2026/2027 | Complete
Exam-Style Questions | 100% Verified –
Pass Guaranteed – A+ Graded
[SECTION 1: Data Types & Data Collection — Questions 1-10]
Q1: A researcher is studying the average height of sunflowers in a specific field. They measure
the height of every sunflower in inches. Which type of data is being collected?
A. Categorical and Nominal
B. Categorical and Ordinal
C. Quantitative and Continuous [CORRECT]
D. Quantitative and Discrete
Correct Answer: C
Rationale: Height is a quantitative variable because it represents a measurable quantity, and it is
continuous because it can take any value within a range (including fractions). Categorical data
(Nominal or Ordinal) deals with qualities or labels rather than measurements. Discrete data
involves counts that can only be whole numbers, whereas height measurements can be infinitely
precise. Therefore, height measured in inches is best classified as continuous quantitative data.
Q2: In a customer satisfaction survey, respondents are asked to rate their experience on a scale of
"Very Dissatisfied," "Dissatisfied," "Neutral," "Satisfied," and "Very Satisfied." What level of
measurement is being used?
A. Nominal
B. Ratio
C. Ordinal [CORRECT]
D. Interval
,2
Correct Answer: C
Rationale: The data is ordinal because the categories have a clear, inherent order or ranking
(from dissatisfied to satisfied). Nominal data has no order (like colors), while interval and ratio
data involve numerical values with consistent differences between them. Although the labels
represent a ranking, the distances between the categories are not necessarily equal or
quantifiable, which distinguishes it from interval or ratio scales.
Q3: A data analyst wants to ensure that a sample accurately represents the population by dividing
the population into subgroups (strata) based on a specific characteristic and then randomly
sampling from each subgroup. Which sampling method is being described?
A. Simple Random Sampling
B. Cluster Sampling
C. Stratified Sampling [CORRECT]
D. Convenience Sampling
Correct Answer: C
Rationale: Stratified sampling involves dividing the population into distinct subgroups (strata)
that share similar characteristics and then selecting a random sample from each stratum. This
ensures that specific subgroups are adequately represented in the final sample. Simple random
sampling selects from the whole population without strata, cluster sampling selects entire groups
randomly, and convenience sampling selects readily available subjects.
Q4: A study aims to determine the impact of a new diet on weight loss. Participants are selected
because they are friends of the researcher. What type of bias is most likely present in this study?
A. Response Bias
B. Non-response Bias
C. Selection Bias [CORRECT]
D. Confirmation Bias
Correct Answer: C
,3
Rationale: Selection bias occurs when the method of selecting participants results in a sample
that is not representative of the population. By only choosing friends of the researcher, the
sample is likely homogenous and not representative of the general population. Response bias
relates to inaccurate answers, non-response bias relates to those who choose not to participate,
and confirmation bias relates to interpreting data to fit a pre-existing belief.
Q5: Which of the following best describes a Cross-Sectional study?
A. A study where participants are followed over a long period of time to observe changes.
B. A study that looks back at historical data to find correlations.
C. A study that analyzes data from a population at a specific point in time. [CORRECT]
D. A study where an intervention is applied to one group and not another.
Correct Answer: C
Rationale: A cross-sectional study is observational and analyzes data from a population at a
single point in time to determine prevalence or relationships. Longitudinal studies follow
subjects over time (Option A), retrospective studies look at historical data (Option B), and
experimental studies involve interventions (Option D). Cross-sectional studies are efficient for
identifying associations but cannot determine causality.
Q6: Which of the following is an example of Discrete Quantitative data?
A. The temperature of a room in Celsius
B. The weight of a newborn baby
C. The number of cars in a parking lot [CORRECT]
D. The time it takes to run a mile
Correct Answer: C
Rationale: Discrete quantitative data can only take specific countable values, usually whole
numbers. The number of cars is a count and cannot be fractional (you cannot have 2.5 cars in a
specific count context). Temperature, weight, and time are all continuous variables because they
can take any value within a range and can be measured to infinite precision.
, 4
Q7: A survey question asks, "Don't you agree that the new policy is beneficial?" Which issue in
data collection does this question primarily exemplify?
A. Double-barreled question
B. Leading question [CORRECT]
C. Vague wording
D. Sensitive question
Correct Answer: B
Rationale: This is a leading question because it is phrased in a way that suggests a specific
answer ("Don't you agree..."). Leading questions introduce bias by encouraging the respondent to
answer in a particular manner, thus compromising the objectivity of the data collected. Vague
wording would involve unclear terms, while a sensitive question deals with intrusive topics.
Q8: A researcher randomly selects 10 high schools in a state and then surveys all students in
those 10 schools. What sampling method is this?
A. Stratified Sampling
B. Systematic Sampling
C. Simple Random Sampling
D. Cluster Sampling [CORRECT]
Correct Answer: D
Rationale: Cluster sampling involves dividing the population into clusters (usually
geographically or naturally occurring groups) and then randomly selecting entire clusters to
study. In this case, high schools are the clusters, and all members within the selected clusters are
surveyed. Stratified sampling would sample from every high school based on subgroups, and
systematic sampling involves selecting every nth individual.
Q9: Which type of bias occurs when individuals who choose to participate in a study are
fundamentally different from those who do not?
A. Interviewer Bias
WGU D467 Exploring Data Test Bank
Actual Exam 2026/2027 | Complete
Exam-Style Questions | 100% Verified –
Pass Guaranteed – A+ Graded
[SECTION 1: Data Types & Data Collection — Questions 1-10]
Q1: A researcher is studying the average height of sunflowers in a specific field. They measure
the height of every sunflower in inches. Which type of data is being collected?
A. Categorical and Nominal
B. Categorical and Ordinal
C. Quantitative and Continuous [CORRECT]
D. Quantitative and Discrete
Correct Answer: C
Rationale: Height is a quantitative variable because it represents a measurable quantity, and it is
continuous because it can take any value within a range (including fractions). Categorical data
(Nominal or Ordinal) deals with qualities or labels rather than measurements. Discrete data
involves counts that can only be whole numbers, whereas height measurements can be infinitely
precise. Therefore, height measured in inches is best classified as continuous quantitative data.
Q2: In a customer satisfaction survey, respondents are asked to rate their experience on a scale of
"Very Dissatisfied," "Dissatisfied," "Neutral," "Satisfied," and "Very Satisfied." What level of
measurement is being used?
A. Nominal
B. Ratio
C. Ordinal [CORRECT]
D. Interval
,2
Correct Answer: C
Rationale: The data is ordinal because the categories have a clear, inherent order or ranking
(from dissatisfied to satisfied). Nominal data has no order (like colors), while interval and ratio
data involve numerical values with consistent differences between them. Although the labels
represent a ranking, the distances between the categories are not necessarily equal or
quantifiable, which distinguishes it from interval or ratio scales.
Q3: A data analyst wants to ensure that a sample accurately represents the population by dividing
the population into subgroups (strata) based on a specific characteristic and then randomly
sampling from each subgroup. Which sampling method is being described?
A. Simple Random Sampling
B. Cluster Sampling
C. Stratified Sampling [CORRECT]
D. Convenience Sampling
Correct Answer: C
Rationale: Stratified sampling involves dividing the population into distinct subgroups (strata)
that share similar characteristics and then selecting a random sample from each stratum. This
ensures that specific subgroups are adequately represented in the final sample. Simple random
sampling selects from the whole population without strata, cluster sampling selects entire groups
randomly, and convenience sampling selects readily available subjects.
Q4: A study aims to determine the impact of a new diet on weight loss. Participants are selected
because they are friends of the researcher. What type of bias is most likely present in this study?
A. Response Bias
B. Non-response Bias
C. Selection Bias [CORRECT]
D. Confirmation Bias
Correct Answer: C
,3
Rationale: Selection bias occurs when the method of selecting participants results in a sample
that is not representative of the population. By only choosing friends of the researcher, the
sample is likely homogenous and not representative of the general population. Response bias
relates to inaccurate answers, non-response bias relates to those who choose not to participate,
and confirmation bias relates to interpreting data to fit a pre-existing belief.
Q5: Which of the following best describes a Cross-Sectional study?
A. A study where participants are followed over a long period of time to observe changes.
B. A study that looks back at historical data to find correlations.
C. A study that analyzes data from a population at a specific point in time. [CORRECT]
D. A study where an intervention is applied to one group and not another.
Correct Answer: C
Rationale: A cross-sectional study is observational and analyzes data from a population at a
single point in time to determine prevalence or relationships. Longitudinal studies follow
subjects over time (Option A), retrospective studies look at historical data (Option B), and
experimental studies involve interventions (Option D). Cross-sectional studies are efficient for
identifying associations but cannot determine causality.
Q6: Which of the following is an example of Discrete Quantitative data?
A. The temperature of a room in Celsius
B. The weight of a newborn baby
C. The number of cars in a parking lot [CORRECT]
D. The time it takes to run a mile
Correct Answer: C
Rationale: Discrete quantitative data can only take specific countable values, usually whole
numbers. The number of cars is a count and cannot be fractional (you cannot have 2.5 cars in a
specific count context). Temperature, weight, and time are all continuous variables because they
can take any value within a range and can be measured to infinite precision.
, 4
Q7: A survey question asks, "Don't you agree that the new policy is beneficial?" Which issue in
data collection does this question primarily exemplify?
A. Double-barreled question
B. Leading question [CORRECT]
C. Vague wording
D. Sensitive question
Correct Answer: B
Rationale: This is a leading question because it is phrased in a way that suggests a specific
answer ("Don't you agree..."). Leading questions introduce bias by encouraging the respondent to
answer in a particular manner, thus compromising the objectivity of the data collected. Vague
wording would involve unclear terms, while a sensitive question deals with intrusive topics.
Q8: A researcher randomly selects 10 high schools in a state and then surveys all students in
those 10 schools. What sampling method is this?
A. Stratified Sampling
B. Systematic Sampling
C. Simple Random Sampling
D. Cluster Sampling [CORRECT]
Correct Answer: D
Rationale: Cluster sampling involves dividing the population into clusters (usually
geographically or naturally occurring groups) and then randomly selecting entire clusters to
study. In this case, high schools are the clusters, and all members within the selected clusters are
surveyed. Stratified sampling would sample from every high school based on subgroups, and
systematic sampling involves selecting every nth individual.
Q9: Which type of bias occurs when individuals who choose to participate in a study are
fundamentally different from those who do not?
A. Interviewer Bias
