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WGU D772 OBJECTIVE ASSESSMENT & PRACTICE EXAM TEST BANK – NEWEST 2026 EDITION | PASS STATISTICS & DATA LITERACY WITH CONFIDENCE

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Ace the WGU D772 objective assessment on your first attempt with this authentic, up-to-date 2026 test bank featuring 200+ real exam questions, correct verified answers, and detailed rationales. Master every key topic: levels of measurement (nominal, ordinal, interval, ratio), data types (quantitative continuous/discrete, categorical), measures of central tendency & spread (mean, median, mode, standard deviation, IQR, range), data visualizations (histograms, boxplots, scatterplots, bar charts, pie charts), probability, normal distribution & empirical rule, z-scores, correlation & regression (r, R², slope, residuals), sampling methods (simple random, stratified, cluster, systematic, convenience), bias types (selection, non-response, leading questions), confidence intervals, hypothesis testing (p-values, Type I & II errors, power), Central Limit Theorem, t-tests (paired & independent), ANOVA, chi-square, and experimental design. Perfect for education, psychology, and data literacy students. Study smarter, not harder — guaranteed!

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WGU D772
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WGU D772 OBJECTIVE ASSESSMENT AND PRACTICE
EXAM NEWEST 2026 TEST BANK| D772 STATISTICAL
DATA LITERACY OA FINAL WITH COMPLETE 300 REAL
EXAM QUESTIONS AND CORRECT VERIFIED ANSWERS/
ALREADY GRADED A+ (MOST RECENT!!)
1. A researcher collects the zip codes of survey participants.
What level of measurement are zip codes?
A) Nominal
B) Ordinal
C) Interval
D) Ratio
Correct Answer: A
Rationale: Zip codes are categories with no inherent order or
meaningful numeric difference. They are labels, making
them nominal data .

2. A school measures students’ grade-point averages (GPAs)
on a 4.0 scale. What type of data is GPA?
A) Nominal
B) Ordinal
C) Interval
D) Ratio
1

,Correct Answer: D
Rationale: GPA has a true zero point (0.0) and equal intervals
between values, and ratios are meaningful (a 3.0 is twice as high
as a 1.5). Therefore, it is ratio data .

3. Which of the following is an example of quantitative
continuous data?
A) Number of children in a family
B) Eye color of students
C) Time it takes to run 100 meters
D) Type of car owned
Correct Answer: C
Rationale: Time is measured on a continuum and can take any
value within a range (e.g., 12.34 seconds). It is quantitative
continuous .

4. A dataset records the finishing positions (1st, 2nd, 3rd, …)
of runners. This variable is:
A) Nominal
B) Ordinal
C) Interval
D) Ratio
Correct Answer: B

2

,Rationale: Finishing positions have a meaningful order but the
differences between positions are not uniform or meaningful for
calculation. This is ordinal data .

5. A histogram is most appropriate for visualizing:
A) The relationship between two continuous variables
B) The distribution of a single quantitative variable
C) The proportion of a categorical variable
D) The change in a variable over time
Correct Answer: B
Rationale: A histogram groups continuous data into bins and
shows the frequency distribution of a single quantitative variable
.

6. A data analyst wants to display the percentage of total
sales contributed by each product category. Which type of
graph is best?
A) Histogram
B) Scatterplot
C) Bar chart or pie chart
D) Line graph
Correct Answer: C



3

, Rationale: Bar charts or pie charts are appropriate for showing
parts of a whole (proportions) for categorical data .

7. In a boxplot, the “box” represents:
A) The full range of the data
B) The middle 50% of the data (interquartile range, IQR)
C) The mean ± one standard deviation
D) The most frequent values
Correct Answer: B
Rationale: The box in a boxplot spans the first quartile (Q1) to
the third quartile (Q3), containing the middle 50% of the
observations .

8. In a boxplot, points plotted beyond the whiskers are
typically considered:
A) The maximum and minimum values
B) Potential outliers
C) The median values
D) The mode of the distribution
Correct Answer: B
Rationale: Points outside the whiskers (usually defined as 1.5 ×
IQR beyond Q1 or Q3) are commonly flagged as potential
outliers .

4

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