PCPA Practice Questions - CAS Property & Casualty Predictive Analytics Exam - PCPA Practice Questions - CAS Property & Casualty Predictive Analytics Exam

Question 1

An auto insurance dataset has 12% of `driver_age` values missing, and the missingness is unrelated to age, claim amount, or any other variable. Which missing-data mechanism best describes this?

MCAR — Missing Completely At Random MAR — Missing At Random MNAR — Missing Not At Random Selection bias

Correct Answer:

MCAR — Missing Completely At Random

Question 2

A workers' compensation dataset shows that older policyholders are systematically less likely to report `prior_claims_count` (it is missing more for ages 60+). Conditional on observed age, the missingness does not depend on the unobserved claim count itself. This pattern is best described as:

MCAR MAR MNAR Survivorship bias

Correct Answer:

MAR

Question 3

A homeowners dataset has loss amounts that are heavily right-skewed with a long upper tail. Which transformation is most commonly applied before fitting a linear model on `loss_amount`?

Square transformation Logarithmic transformation Standardization (z-score) Min-max scaling to [0,1]

Correct Answer:

Logarithmic transformation

Question 4

Which transformation is the appropriate generalization of Box-Cox when the predictor or response can take zero or negative values?

Log transformation with offset of 1 Yeo-Johnson transformation Square-root transformation Inverse (reciprocal) transformation

Correct Answer:

Yeo-Johnson transformation

Question 5

An actuary uses the IQR method to flag outliers in `policy_premium`. The first and third quartiles are $400 and $1,200, respectively. The conventional outlier fences are at:

$$0 and $1,600 $$200 and $1,400 $$-800 and $2,400 $$-1,600 and $3,200

Correct Answer:

$$-800 and $2,400

Question 1

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About this Exam

Prepare with the PCPA Practice Questions - CAS Property & Casualty Predictive Analytics Exam practice quiz. This question bank includes 100 questions covering model, claim, loss, frequency, and predictor. Use it to review important concepts, identify knowledge gaps, and build confidence for the related exam, course, or assessment.

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PCPA Practice Questions - CAS Property & Casualty Predictive Analytics Exam

This practice set contains 100 questions from the matching question bank and focuses on model, claim, loss, frequency, and predictor. Work through each question carefully, review the provided solutions, and revisit topics that need more study before your next attempt.

This is an independent study resource intended for practice and review; it is not an official examination or an endorsement by any organization named in the title.

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PCPA Practice Questions - CAS Property & Casualty Predictive Analytics Exam

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