CAM Data Analysis & Decision Making 2 — Questions and Answers
Question 1: A CAM notices that 20% of accounts generate 80% of revenue. This pattern is best described as:
- The Normal Distribution Principle
- The Pareto Principle (Correct answer)
- The Central Limit Theorem
- The Law of Large Numbers
Correct answer: The Pareto Principle
The Pareto Principle (80/20 rule) states that roughly 80% of effects come from 20% of causes, commonly observed in revenue distribution across accounts.
Question 2: When analyzing customer churn data, a CAM finds that the average monthly churn rate is 5% with a standard deviation of 1.5%. What does this standard deviation indicate?
- The churn rate will never exceed 6.5%
- Churn rates typically fall between 3.5% and 6.5% (Correct answer)
- The data is not statistically significant
- Churn always returns to 5% over time
Correct answer: Churn rates typically fall between 3.5% and 6.5%
Standard deviation measures the dispersion of data; one standard deviation above and below the mean (5% ± 1.5%) gives the typical range of 3.5%–6.5%.
Question 3: A CAM wants to determine if a new onboarding process reduced time-to-value. Which statistical test is most appropriate for comparing the before-and-after means?
- Chi-square test
- Paired t-test (Correct answer)
- ANOVA
- Regression analysis
Correct answer: Paired t-test
A paired t-test compares means from the same group measured at two different times, making it ideal for before-and-after comparisons.
Question 4: In a dashboard showing account health scores, a CAM sees a metric trend line consistently below the target. The BEST first action is to:
- Immediately escalate to senior management
- Investigate the root cause of the underperformance (Correct answer)
- Lower the target to match actual performance
- Ignore it if the account hasn't complained
Correct answer: Investigate the root cause of the underperformance
Investigating root causes before taking action ensures decisions are data-driven and address the actual problem rather than symptoms.
Question 5: A CAM is reviewing a scatter plot of support ticket volume vs. customer satisfaction scores. A negative correlation would mean:
- Higher ticket volume is associated with higher satisfaction
- Higher ticket volume is associated with lower satisfaction (Correct answer)
- Ticket volume has no relationship with satisfaction
- Satisfaction scores are unpredictable
Correct answer: Higher ticket volume is associated with lower satisfaction
A negative correlation means that as one variable increases, the other decreases — so more support tickets correlate with lower satisfaction scores.
Question 6: When building a business case for additional account resources, a CAM should prioritize data that:
- Confirms the CAM's existing assumptions
- Links resource investment to measurable revenue outcomes (Correct answer)
- Shows the highest possible projections to gain approval
- Focuses exclusively on competitor benchmarks
Correct answer: Links resource investment to measurable revenue outcomes
Connecting resource requests to measurable revenue outcomes makes the business case credible and tied to organizational priorities.
Question 7: A CAM's account portfolio data shows a bimodal distribution in renewal rates. This most likely indicates:
- The data has measurement errors
- There are two distinct customer segments with different behaviors (Correct answer)
- The mean renewal rate is the best summary statistic
- Renewal rates are uniformly distributed
Correct answer: There are two distinct customer segments with different behaviors
A bimodal distribution with two peaks suggests two underlying groups behaving differently, signaling distinct customer segments.
CAM Data Analysis & Decision Making 2
A CAM notices that 20% of accounts generate 80% of revenue.
This pattern is best described as: