Exploring Data | Review Questions and Verified Answers
Grade A | 100% Correct - WGU 2026/2027 - Official Exam
OBJECTIVE ASSESSMENT - EXAM
D 467 / D467 Pre- Assessment
(Latest Update 2026/2027)
Exploring Data | Review
Questions and Verified Answers
Grade A | 100% Correct - WGU 2026/2027
- 2026/2027 Official Exam
75 100%
QUESTIONS VERIFIED ANSWERS EDITION
TOPICS COVERED
Data Foundations and Types of Data Data Visualization and Interpretation
Data Collection and Selection Methods Inferential Statistics and Hypothesis Testing
Descriptive Statistics and Summarization Real-World Data Analysis Scenarios
COVER PAGE - 1
,SECTION 1 | Data Foundations and Types of Data | Q1-Q15 | Exploring Data 2026/2027
Q1 Question 1 of 75
A market researcher collects survey responses categorizing consumers by their preferred social media
platform: Facebook, Instagram, TikTok, or Twitter. The analyst classifies each response into one of these
four categories with no implied ranking. What level of measurement does this data represent?
A. Ordinal, because the categories are labeled
B. Ratio, because each platform is distinct
C. Nominal, because categories have no inherent order
D. Interval, because the categories are equally spaced
Correct Answer: C
Rationale:
Nominal level data consists of categories with no inherent order or ranking, such as names, labels, or
platform names. Ordinal would imply a meaningful order, while interval and ratio require numeric values
with equal spacing and meaningful differences between values.
Q2 Question 2 of 75
A hospital administrator records patient pain levels on a scale from 1 to 10, where higher numbers
indicate more severe pain. While the numbers are sequential, the difference between 4 and 5 is not
necessarily the same magnitude as between 8 and 9. Which level of measurement applies to this pain
scale data?
A. Ordinal, because order matters but intervals are not equal
B. Nominal, because patients choose numbers
C. Interval, because the values are numeric
D. Ratio, because zero represents no pain
Correct Answer: A
Rationale:
Ordinal data has ordered categories where the order matters but the intervals between values are not
equal or meaningful. Pain scales are classic ordinal data because a 4-to-5 change is not equivalent to an
8-to-9 change in perceived pain. Interval and ratio require equal spacing, which ordinal lacks.
D 467 / D467 Pre- Assessment - Exploring Data - 2026/2027 | Passing Score: 80% | Page 2 of 42
,Q3 Question 3 of 75
A meteorologist records daily high temperatures in degrees Celsius over a 30-day period. The values are
numeric, equally spaced, and differences are meaningful, but 0 degrees Celsius does not represent the
complete absence of temperature. What measurement level is this temperature data?
A. Nominal, because temperature is a label
B. Interval, because intervals are equal but zero is arbitrary
C. Ordinal, because temperatures can be ranked
D. Ratio, because the values are continuous
Correct Answer: B
Rationale:
Interval level data has equal spacing between values and meaningful differences, but the zero point is
arbitrary rather than absolute. Celsius temperature fits this definition because 0 degrees is not the absence
of heat. Ratio data requires a true zero, which only Kelvin provides.
Q4 Question 4 of 75
An inventory manager counts the number of units sold each day for a retail product over a one-week
period. The counts are numeric, equally spaced, and a value of zero truly means no units were sold that
day. Which measurement level applies to this daily unit count data?
A. Ratio, because zero means true absence and ratios are meaningful
B. Ordinal, because higher counts rank higher
C. Interval, because the spacing is equal
D. Nominal, because counts are labels
Correct Answer: A
Rationale:
Ratio level data has a true zero point representing complete absence of the measured attribute, and ratios
between values are meaningful. Unit counts are ratio data because 10 units is genuinely twice as many as
5 units, and zero means nothing was sold. This is the highest level of measurement.
D 467 / D467 Pre- Assessment - Exploring Data - 2026/2027 | Passing Score: 80% | Page 3 of 42
, Q5 Question 5 of 75
A data scientist working for a streaming service analyzes customer watch time, which can take any value
within a range such as 2.5 hours, 2.51 hours, or 2.513 hours, with infinitely fine granularity possible.
What type of quantitative data is this watch time variable?
A. Continuous, because values can take any point in a range
B. Discrete, because time is counted
C. Nominal, because hours are labels
D. Categorical, because time is grouped
Correct Answer: A
Rationale:
Continuous data can take any value within a range and can be measured to arbitrary precision, including
fractional values. Watch time measured in hours is continuous because it can be subdivided infinitely.
Discrete data would be countable whole numbers, such as number of videos watched.
Q6 Question 6 of 75
A research team collects responses from a customer satisfaction survey where customers select ratings
from Very Dissatisfied, Dissatisfied, Neutral, Satisfied, or Very Satisfied. Each customer selects exactly
one option. What type of data does this satisfaction survey produce?
A. Quantitative continuous, because ratings vary
B. Quantitative discrete, because ratings are countable
C. Qualitative nominal, because categories have no order
D. Qualitative ordinal, because categories are ordered
Correct Answer: D
Rationale:
Satisfaction ratings are qualitative (non-numeric categories) and ordinal (the categories have a meaningful
order from least to most satisfied). They are not quantitative because they are not numeric measurements,
and they are not nominal because the order matters in interpretation.
D 467 / D467 Pre- Assessment - Exploring Data - 2026/2027 | Passing Score: 80% | Page 4 of 42