WGU - C784: APPLIED HEALTHCARE
STATISTICS EXAM QUESTION WITH
ACTUAL ANSWERS 2025/2026
Temperature Conversions - ANSWERSF = C × 1.8 + 32
C = (F−32) ÷ 1.8
Slope intercept form of a line - ANSWERSy=mx + b
• m=slope=𝑟𝑖𝑠𝑒/𝑟𝑢𝑛
• b=y-intercept=the point (0, b)
Basic tips for inequalities in one-variable - ANSWERS< or > is graphed using an open
circle °
≤ or ≥ is graphed using a filled circle •
Flip the direction of the inequality sign when multiplying or dividing by a negative
𝐶→Q
categorical --> quantitative - ANSWERSSide-by-side Boxplot
5-Number Summary
𝑄→𝑄
quantitative --> quantitative - ANSWERSScatterplot
Correlation Coefficient
Probability formulas:
Multiplication Rule - ANSWERSNot Conditional: P(A and B)=P(A)*P(B)
Conditional: P(A and B)=P(A)*P(B|A)
Multiply
Key word: and, both
Probability formulas:
Conditional probability - ANSWERSDivide
Key word: if, of, given
Probability formulas:
Complement Rule - ANSWERSP(not A)=1-P(A)
Subtraction
Key word: not
Measures of Center - ANSWERSMean=the sum of all the data points, divided by the
number of data points.
STATISTICS EXAM QUESTION WITH
ACTUAL ANSWERS 2025/2026
Temperature Conversions - ANSWERSF = C × 1.8 + 32
C = (F−32) ÷ 1.8
Slope intercept form of a line - ANSWERSy=mx + b
• m=slope=𝑟𝑖𝑠𝑒/𝑟𝑢𝑛
• b=y-intercept=the point (0, b)
Basic tips for inequalities in one-variable - ANSWERS< or > is graphed using an open
circle °
≤ or ≥ is graphed using a filled circle •
Flip the direction of the inequality sign when multiplying or dividing by a negative
𝐶→Q
categorical --> quantitative - ANSWERSSide-by-side Boxplot
5-Number Summary
𝑄→𝑄
quantitative --> quantitative - ANSWERSScatterplot
Correlation Coefficient
Probability formulas:
Multiplication Rule - ANSWERSNot Conditional: P(A and B)=P(A)*P(B)
Conditional: P(A and B)=P(A)*P(B|A)
Multiply
Key word: and, both
Probability formulas:
Conditional probability - ANSWERSDivide
Key word: if, of, given
Probability formulas:
Complement Rule - ANSWERSP(not A)=1-P(A)
Subtraction
Key word: not
Measures of Center - ANSWERSMean=the sum of all the data points, divided by the
number of data points.
