WGU D772 OBJECTIVE ASSESSMENT 2 NEWEST 2026
ACTUAL EXAM| D772 STATISTICAL DATA LITERACY OA 2
WITH COMPLETE 200 REAL EXAM QUESTIONS AND
CORRECT VERIFIED ANSWERS/ ALREADY GRADED A+
(MOST RECENT!!)
CORE DOMAINS
• Foundations of Data Literacy
• Data Types and Measurement Scales
• Data Collection and Sampling Methods
• Descriptive Statistics and Graphical Displays
• Probability and Expected Value
• Inferential Statistics and Hypothesis Testing
• Correlation, Regression, and Data Interpretation
• Bias, Ethics, and Statistical Reasoning
INTRODUCTION
This comprehensive assessment is designed to rigorously prepare candidates for
the WGU D772 Statistical Data Literacy Objective Assessment 2. It evaluates a
broad spectrum of essential knowledge, ranging from foundational data literacy
concepts to complex statistical reasoning and interpretation. The examination
utilizes multiple-choice questions and scenario-based problems to test both recall
and applied understanding. A significant emphasis is placed on real-world
decision-making, requiring candidates to synthesize information, analyze datasets,
and select the most appropriate statistical conclusions. Successful completion
indicates a professional-level competence necessary for data-informed decision-
making.
,SECTION ONE: QUESTIONS 1–200
1. A public health researcher collects the ages of 2,500 adults participating in a
nationwide wellness study. After reviewing the dataset, the researcher notices
that the average age is 46.8 years, the median age is 44 years, and several
participants are older than 95 years. Which measure of central tendency would
provide the best representation of the typical participant's age if the
distribution is positively skewed because of these extreme values?
A. Mean, because it always represents the center of every distribution regardless
of outliers.
B. Median, because it is less affected by unusually high or low values than the
mean.
C. Mode, because it is always the preferred measure for numerical data.
D. Range, because it identifies the spread of the distribution.
B. Median, because it is less affected by unusually high or low values than the
mean.
RATIONALE: The median is resistant to outliers and skewed distributions,
making it a better measure of central tendency when extreme values influence
the mean. In a positively skewed distribution, the mean is pulled upward by high
values, while the median remains closer to the bulk of the data.
2. A data analyst randomly selects 500 registered voters from a state containing
over five million registered voters to estimate support for a proposed
constitutional amendment. In this study, what represents the population?
A. The 500 registered voters selected for the survey.
B. Every registered voter in the state.
C. Only the voters who completed the survey.
D. Only voters living in urban areas.
B. Every registered voter in the state.
RATIONALE: The population includes the entire group the researcher wants to
study, while the sample is the subset selected for analysis. Here, the population is
,all registered voters in the state, and the 500 selected voters represent the
sample.
3. A manufacturing company wants to determine whether a newly installed
machine produces fewer defective products than the previous machine.
Engineers collect production data for three months before and three months
after installation. Which branch of statistics is primarily being used when the
engineers draw conclusions about machine performance based on sample data?
A. Descriptive statistics.
B. Inferential statistics.
C. Qualitative analysis.
D. Predictive maintenance.
B. Inferential statistics.
RATIONALE: Inferential statistics use sample data to make conclusions or
predictions about a larger population or process. The engineers are using sample
data to draw conclusions about the machine's performance.
4. A professor analyzes the final examination scores of an entire class and
reports the average score, the highest score, the lowest score, and the standard
deviation without making predictions beyond that class. Which type of
statistical analysis is being performed?
A. Inferential statistics.
B. Descriptive statistics.
C. Experimental statistics.
D. Bayesian forecasting.
B. Descriptive statistics.
RATIONALE: Descriptive statistics summarize and organize data without
drawing conclusions beyond the observed dataset. The professor is describing the
class's scores without making inferences about a larger population.
5. A business analyst calculates the standard deviation of monthly sales revenue
for two stores. Store A has a standard deviation of $2,500 while Store B has a
standard deviation of $12,000. What conclusion is most appropriate?
, A. Store A has greater variability in monthly sales.
B. Store B's sales fluctuate more from month to month.
C. Both stores have identical variability.
D. Standard deviation measures the average monthly revenue.
B. Store B's sales fluctuate more from month to month.
RATIONALE: A larger standard deviation indicates greater variability or
dispersion around the mean. Store B's higher standard deviation means its sales
are more variable.
6. A clinical researcher tests whether a new medication lowers blood pressure
more effectively than the current treatment. The researcher begins by assuming
there is no difference between the two medications until sufficient statistical
evidence suggests otherwise. Which statement is this assumption?
A. Alternative hypothesis.
B. Null hypothesis.
C. Research hypothesis.
D. Experimental hypothesis.
B. Null hypothesis.
RATIONALE: The null hypothesis is the assumption that there is no difference
or no effect. It is the default position that researchers try to reject with statistical
evidence.
7. A gardener recorded the type of fertilizer used for each plant in a garden.
How is the collective data classified?
A. Quantitative
B. Categorical
C. Continuous
D. Ordinal
B. Categorical
RATIONALE: Categorical data (also called qualitative data) consists of labels or
categories. The type of fertilizer is a category, not a numerical measurement.
ACTUAL EXAM| D772 STATISTICAL DATA LITERACY OA 2
WITH COMPLETE 200 REAL EXAM QUESTIONS AND
CORRECT VERIFIED ANSWERS/ ALREADY GRADED A+
(MOST RECENT!!)
CORE DOMAINS
• Foundations of Data Literacy
• Data Types and Measurement Scales
• Data Collection and Sampling Methods
• Descriptive Statistics and Graphical Displays
• Probability and Expected Value
• Inferential Statistics and Hypothesis Testing
• Correlation, Regression, and Data Interpretation
• Bias, Ethics, and Statistical Reasoning
INTRODUCTION
This comprehensive assessment is designed to rigorously prepare candidates for
the WGU D772 Statistical Data Literacy Objective Assessment 2. It evaluates a
broad spectrum of essential knowledge, ranging from foundational data literacy
concepts to complex statistical reasoning and interpretation. The examination
utilizes multiple-choice questions and scenario-based problems to test both recall
and applied understanding. A significant emphasis is placed on real-world
decision-making, requiring candidates to synthesize information, analyze datasets,
and select the most appropriate statistical conclusions. Successful completion
indicates a professional-level competence necessary for data-informed decision-
making.
,SECTION ONE: QUESTIONS 1–200
1. A public health researcher collects the ages of 2,500 adults participating in a
nationwide wellness study. After reviewing the dataset, the researcher notices
that the average age is 46.8 years, the median age is 44 years, and several
participants are older than 95 years. Which measure of central tendency would
provide the best representation of the typical participant's age if the
distribution is positively skewed because of these extreme values?
A. Mean, because it always represents the center of every distribution regardless
of outliers.
B. Median, because it is less affected by unusually high or low values than the
mean.
C. Mode, because it is always the preferred measure for numerical data.
D. Range, because it identifies the spread of the distribution.
B. Median, because it is less affected by unusually high or low values than the
mean.
RATIONALE: The median is resistant to outliers and skewed distributions,
making it a better measure of central tendency when extreme values influence
the mean. In a positively skewed distribution, the mean is pulled upward by high
values, while the median remains closer to the bulk of the data.
2. A data analyst randomly selects 500 registered voters from a state containing
over five million registered voters to estimate support for a proposed
constitutional amendment. In this study, what represents the population?
A. The 500 registered voters selected for the survey.
B. Every registered voter in the state.
C. Only the voters who completed the survey.
D. Only voters living in urban areas.
B. Every registered voter in the state.
RATIONALE: The population includes the entire group the researcher wants to
study, while the sample is the subset selected for analysis. Here, the population is
,all registered voters in the state, and the 500 selected voters represent the
sample.
3. A manufacturing company wants to determine whether a newly installed
machine produces fewer defective products than the previous machine.
Engineers collect production data for three months before and three months
after installation. Which branch of statistics is primarily being used when the
engineers draw conclusions about machine performance based on sample data?
A. Descriptive statistics.
B. Inferential statistics.
C. Qualitative analysis.
D. Predictive maintenance.
B. Inferential statistics.
RATIONALE: Inferential statistics use sample data to make conclusions or
predictions about a larger population or process. The engineers are using sample
data to draw conclusions about the machine's performance.
4. A professor analyzes the final examination scores of an entire class and
reports the average score, the highest score, the lowest score, and the standard
deviation without making predictions beyond that class. Which type of
statistical analysis is being performed?
A. Inferential statistics.
B. Descriptive statistics.
C. Experimental statistics.
D. Bayesian forecasting.
B. Descriptive statistics.
RATIONALE: Descriptive statistics summarize and organize data without
drawing conclusions beyond the observed dataset. The professor is describing the
class's scores without making inferences about a larger population.
5. A business analyst calculates the standard deviation of monthly sales revenue
for two stores. Store A has a standard deviation of $2,500 while Store B has a
standard deviation of $12,000. What conclusion is most appropriate?
, A. Store A has greater variability in monthly sales.
B. Store B's sales fluctuate more from month to month.
C. Both stores have identical variability.
D. Standard deviation measures the average monthly revenue.
B. Store B's sales fluctuate more from month to month.
RATIONALE: A larger standard deviation indicates greater variability or
dispersion around the mean. Store B's higher standard deviation means its sales
are more variable.
6. A clinical researcher tests whether a new medication lowers blood pressure
more effectively than the current treatment. The researcher begins by assuming
there is no difference between the two medications until sufficient statistical
evidence suggests otherwise. Which statement is this assumption?
A. Alternative hypothesis.
B. Null hypothesis.
C. Research hypothesis.
D. Experimental hypothesis.
B. Null hypothesis.
RATIONALE: The null hypothesis is the assumption that there is no difference
or no effect. It is the default position that researchers try to reject with statistical
evidence.
7. A gardener recorded the type of fertilizer used for each plant in a garden.
How is the collective data classified?
A. Quantitative
B. Categorical
C. Continuous
D. Ordinal
B. Categorical
RATIONALE: Categorical data (also called qualitative data) consists of labels or
categories. The type of fertilizer is a category, not a numerical measurement.
