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WGU C207 DATA DRIVEN DECISION MAKING – OA FINAL EXAM 350 UNIQUE MULTIPLE ANSWER QUESTIONS WITH DETAILED RATIONALES

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Pass the WGU C207 Data Driven Decision Making Objective Assessment (OA) on your first attempt with this comprehensive, up-to-date practice test for 2026. This ultimate study guide features 350 meticulously crafted questions and answers with detailed rationales, covering every critical domain required for data-driven decision-making success. Master essential topics including data types and levels of measurement (nominal, ordinal, interval, ratio), descriptive statistics (mean, median, mode, standard deviation, variance), inferential statistics and hypothesis testing (p-values, confidence intervals, Type I/II errors, t-tests, ANOVA, chi-square), regression analysis and forecasting (simple and multiple regression, R-squared, time series, autocorrelation), quality management and performance measures (Six Sigma, DMAIC, KPIs, balanced scorecard), data visualization and communication (chart types, dashboard design, data storytelling), research methods and experimental design, and probability and decision-making under uncertainty (Bayes' theorem, decision trees, expected value). Each question presents a realistic scenario testing your ability to apply analytical concepts, interpret data, and make evidence-based decisions. Designed for business, healthcare, and analytics students, this resource provides the rigorous review needed to excel on the WGU C207 OA and build a strong foundation for data-driven decision-making in any professional setting.

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WGU C207 DATA DRIVEN DECISION MAKING
– OA FINAL EXAM 350 UNIQUE MULTIPLE
ANSWER QUESTIONS WITH DETAILED
RATIONALES




SECTION 1: DATA TYPES AND LEVELS OF MEASUREMENT (Questions 1–30)


Question 1
A researcher is classifying survey responses about customer satisfaction
ratings: "Very Satisfied," "Satisfied," "Neutral," "Dissatisfied," and "Very
Dissatisfied." Which two statements correctly describe this data?
A) This is nominal data because categories have no order
B) This is ordinal data because categories have a meaningful order
C) This data type allows for calculation of a mean
D) This data type allows for calculation of a median


Correct Answers: B, D


Rationale: Ordinal data has categories with a meaningful order but unequal
intervals between categories. Customer satisfaction ratings have a clear order
from very satisfied to very dissatisfied, making median an appropriate

,measure of central tendency. However, means cannot be calculated because
the intervals between categories are not necessarily equal. Nominal data (A)
lacks order, which is incorrect here.




Question 2
Which two of the following are characteristics of continuous data?
A) Can take any value within a range
B) Values are countable and finite
C) Examples include temperature and time
D) Examples include number of children in a family


Correct Answers: A, C


Rationale: Continuous data can take any value within a range and is not
restricted to discrete increments. Temperature and time are classic examples
of continuous data because they can be measured with infinite precision.
Values that are countable and finite (B) describe discrete data, and number of
children (D) is a discrete variable.




Question 3
A business analyst is working with the following variables. Which two are
examples of ratio data?
A) Temperature in Fahrenheit

,B) Annual income in dollars
C) Number of employees
D) IQ scores


Correct Answers: B, C


Rationale: Ratio data has a true zero point, allowing for meaningful ratios.
Annual income ($0 means no income) and number of employees (0 means no
employees) both have true zeros. Temperature in Fahrenheit (A) does not
have a true zero (0°F does not mean no temperature), and IQ scores (D) are
interval data without a true zero.




Question 4
Which two statements correctly describe the difference between discrete and
continuous data?
A) Discrete data can only take specific, separate values
B) Continuous data can take any value within a range
C) Discrete data is always nominal
D) Continuous data cannot be measured precisely


Correct Answers: A, B


Rationale: Discrete data takes specific, separate values (e.g., number of sales,
count of items). Continuous data can take any value within a range (e.g.,
weight, height, temperature). Discrete data is not always nominal (C)—it can

, be ordinal, interval, or ratio. Continuous data can be measured precisely (D)
with appropriate instruments.




Question 5
A market researcher collects data on the following: (1) Brand preference
(Coke, Pepsi, Sprite), (2) Age in years, (3) Income bracket ($0–25K, $25K–50K,
$50K+), (4) Number of purchases per month. Which two variables are
measured at the nominal level?
A) Brand preference
B) Age in years
C) Income bracket
D) Number of purchases per month


Correct Answers: A, C


Rationale: Nominal data consists of categories with no inherent order. Brand
preference categories (Coke, Pepsi, Sprite) have no natural order. Income
brackets, while ordered, are often treated as nominal if the focus is on
category membership rather than ordering. Age in years (B) is ratio data, and
number of purchases (D) is discrete ratio data.




Question 6
Which two of the following are properties of interval data?
A) Equal intervals between values

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