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WGU D207: DATA-DRIVEN DECISION MAKING EXAM READY - VERIFIED QUESTIONS AND ANSWERS - COMPREHENSIVE LATEST VERSION 2026/2027

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WGU D207: DATA-DRIVEN DECISION MAKING EXAM READY - VERIFIED QUESTIONS AND ANSWERS - COMPREHENSIVE LATEST VERSION 2026/2027

Instelling
WGU D207: DATA-DRIVEN DECISION MAKING
Vak
WGU D207: DATA-DRIVEN DECISION MAKING

Voorbeeld van de inhoud

1. Which measurement scale has a true zero point that indicates the complete
absence of the measured attribute?
A) Nominal
B) Ordinal
C) Interval
D) Ratio
ANSWER : D) Ratio
Explanation: Ratio scales have a true zero (e.g., weight, height, income). Zero
means none of the attribute exists.

2. A hospital records patient blood types (A, B, AB, O). What type of data is
this?
A) Ratio
B) Interval
C) Nominal
D) Ordinal
ANSWER : C) Nominal
Explanation: Blood type is categorical with no natural order. Nominal data
classifies without ranking.

3. Customer satisfaction rated on a 1–5 scale (1=Very Dissatisfied, 5=Very
Satisfied) is an example of:
A) Ratio data
B) Interval data
C) Nominal data
D) Ordinal data
ANSWER : D) Ordinal data
Explanation: The scale has order/rank but intervals between values are not
necessarily equal.

,4. Temperature measured in Celsius is classified as which scale?
A) Nominal
B) Ordinal
C) Interval
D) Ratio
ANSWER : C) Interval
Explanation: Celsius has equal intervals but no true zero (0°C does not mean
'no temperature').

5. Which of the following is an example of continuous data?
A) Number of customers per day
B) Customer satisfaction rating
C) Blood pressure reading
D) Product category
ANSWER : C) Blood pressure reading
Explanation: Continuous data can take any value within a range. Blood
pressure can be any decimal value.

6. The number of defective items on an assembly line is an example of:
A) Continuous data
B) Discrete data
C) Nominal data
D) Ordinal data
ANSWER : B) Discrete data
Explanation: Discrete data consists of countable values (whole numbers). You
cannot have 2.5 defects.

7. Which scale allows meaningful arithmetic operations including multiplication
and division?
A) Nominal
B) Ordinal
C) Interval
D) Ratio
ANSWER : D) Ratio

, Explanation: Ratio scales permit all arithmetic. You can say one value is twice
another (e.g., $200 is twice $100).

8. ZIP codes assigned to geographic areas are best classified as:
A) Ratio
B) Interval
C) Ordinal
D) Nominal
ANSWER : D) Nominal
Explanation: Though numeric, ZIP codes are labels with no meaningful order
or mathematical interpretation.

9. Which data type would be MOST appropriate for a bar chart?
A) Continuous ratio data
B) Categorical/nominal data
C) Time-series interval data
D) Discrete ratio data
ANSWER : B) Categorical/nominal data
Explanation: Bar charts are ideal for comparing categories. Each bar
represents a distinct category.

10. A researcher ranks marathon runners as 1st, 2nd, 3rd place. The difference
in time between 1st and 2nd is NOT necessarily equal to the difference
between 2nd and 3rd. This is characteristic of:
A) Nominal scale
B) Ordinal scale
C) Interval scale
D) Ratio scale
ANSWER : B) Ordinal scale
Explanation: Ordinal data has order but unequal or unknown intervals
between ranks.

11. Which of the following best describes cross-sectional data?
A) Data collected from the same subjects over multiple time points
B) Data collected from different subjects at a single point in time

, C) Data that crosses multiple variables simultaneously
D) Data collected longitudinally across years
ANSWER : B) Data collected from different subjects at a single point in time
Explanation: Cross-sectional data provides a 'snapshot' of a population at one
moment.

12. Time-series data is best described as:
A) Data collected from multiple groups simultaneously
B) Data with categorical and numerical variables combined
C) Observations recorded at successive points in time
D) Data aggregated across different geographic regions
ANSWER : C) Observations recorded at successive points in time
Explanation: Time-series data tracks the same variable(s) over sequential
time intervals.

13. A dataset containing both age (continuous) and product category (nominal)
is considered:
A) Purely quantitative
B) Purely qualitative
C) Multivariate mixed data
D) Invalid for analysis
ANSWER : C) Multivariate mixed data
Explanation: Mixed datasets contain both quantitative and qualitative
variables, common in business analytics.

14. Which of the following is a qualitative variable?
A) Annual revenue
B) Employee tenure in years
C) Department name
D) Number of transactions
ANSWER : C) Department name
Explanation: Department name is categorical/qualitative — it describes a
quality, not a quantity.

15. In data-driven decision making, 'structured data' refers to:

Geschreven voor

Instelling
WGU D207: DATA-DRIVEN DECISION MAKING
Vak
WGU D207: DATA-DRIVEN DECISION MAKING

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