WGU C723 Practice Test Questions with
Verified Correct Answers
Decision Trees Purpose
Help you choose between options when there are multiple possible outcomes Use it when:
You need to make a decision with several paths. Ex: "Should we launch this product or not?
What if demand is high vs low?"
Network Diagrams Purpose
Plan and organize project tasks in the right order Use it when: You're managing a project
with many steps that depend on each other.
Break-Even Analysis Purpose
Find the minimum sales needed to cover your costs Use it when: Starting a business or
launching a product and need to know "How much do we need to sell just to not lose
money?"
Linear Programming Purpose:
Find the absolute best outcome when you have limited resources Use it when: You have
constraints and need to maximize or minimize something. Ex: "We have a $10k budget and 5
employees — what combo gives us the most profit?"
Best outcome with limited resources
Regression Analysis Purpose:
Understand if and how one thing affects another Use it when: You want to predict an
outcome or find what's driving it. Ex: "Does increasing our ad budget actually increase
sales?"
, Does X cause or predict Y?
T-Test Purpose:
Test whether the difference between two groups is real or just random chance Use it when:
Comparing exactly two groups. Ex: "Do customers who got the discount spend more than
those who didn't?"
ANOVA Purpose:
Same as t-test but across multiple groups at once Use it when: Comparing three or more
groups. Ex: "Do sales differ across our three store locations?"
Qualitative Analysis Methods
Open-ended surveys, interviews, brainstorming sessions, employee feedback, suggestion
boxes — all focused on meaning, context, and perspectives rather than raw numbers.
2. Square RootsTreated
just like exponents. Also, anything under a square root is treated like it's in parentheses —
solve it first.
5. Y-Hat Equations (Prediction Equations) Used to predict outcomes using this format:
Ŷ = β₀ + β₁x₁ + β₂x₂...
Ŷ (Y-hat) = the predicted value
β (betas) = coefficients (the numbers)
x's = the variables
1. One-Way Tables
A table with only column headers (one set of categories).
Verified Correct Answers
Decision Trees Purpose
Help you choose between options when there are multiple possible outcomes Use it when:
You need to make a decision with several paths. Ex: "Should we launch this product or not?
What if demand is high vs low?"
Network Diagrams Purpose
Plan and organize project tasks in the right order Use it when: You're managing a project
with many steps that depend on each other.
Break-Even Analysis Purpose
Find the minimum sales needed to cover your costs Use it when: Starting a business or
launching a product and need to know "How much do we need to sell just to not lose
money?"
Linear Programming Purpose:
Find the absolute best outcome when you have limited resources Use it when: You have
constraints and need to maximize or minimize something. Ex: "We have a $10k budget and 5
employees — what combo gives us the most profit?"
Best outcome with limited resources
Regression Analysis Purpose:
Understand if and how one thing affects another Use it when: You want to predict an
outcome or find what's driving it. Ex: "Does increasing our ad budget actually increase
sales?"
, Does X cause or predict Y?
T-Test Purpose:
Test whether the difference between two groups is real or just random chance Use it when:
Comparing exactly two groups. Ex: "Do customers who got the discount spend more than
those who didn't?"
ANOVA Purpose:
Same as t-test but across multiple groups at once Use it when: Comparing three or more
groups. Ex: "Do sales differ across our three store locations?"
Qualitative Analysis Methods
Open-ended surveys, interviews, brainstorming sessions, employee feedback, suggestion
boxes — all focused on meaning, context, and perspectives rather than raw numbers.
2. Square RootsTreated
just like exponents. Also, anything under a square root is treated like it's in parentheses —
solve it first.
5. Y-Hat Equations (Prediction Equations) Used to predict outcomes using this format:
Ŷ = β₀ + β₁x₁ + β₂x₂...
Ŷ (Y-hat) = the predicted value
β (betas) = coefficients (the numbers)
x's = the variables
1. One-Way Tables
A table with only column headers (one set of categories).
