Data Analysis & Decision Making Flashcards
7 cards from real MAC practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Data Analysis & Decision Making flashcards as text
A marketing analyst notices that two variables have a Pearson correlation coefficient of 0.85. What does this indicate?
Answer: A strong positive linear relationship between the two variables
A Pearson correlation of 0.85 indicates a strong positive linear relationship, but correlation does not imply causation.
Which metric best measures the incremental revenue generated per dollar spent on marketing?
Answer: Return on Ad Spend (ROAS)
ROAS measures revenue generated for every dollar spent on advertising, making it the primary incremental efficiency metric.
When segmenting customers using RFM analysis, what does the 'F' stand for?
Answer: Frequency
RFM stands for Recency, Frequency, and Monetary value — three dimensions used to rank customers.
A company wants to reduce churn. Which analytical approach would best identify customers at risk of leaving?
Answer: Predictive modeling using behavioral engagement signals
Predictive modeling uses historical behavioral patterns to score and flag customers most likely to churn before they do.
In a marketing funnel analysis, a sudden drop in conversion rate between the consideration and decision stages most likely warrants:
Answer: Investigating barriers such as pricing, trust signals, or UX friction at the decision stage
A stage-specific drop signals a friction point at that stage, which should be investigated and addressed directly.
What is the primary purpose of using a control group in marketing experiments?
Answer: To isolate the causal effect of the marketing intervention being tested
A control group provides a baseline, allowing analysts to attribute outcome differences specifically to the tested intervention.
An analyst presents a bar chart where the y-axis starts at 80 instead of 0. What concern does this raise?
Answer: It may visually exaggerate differences between groups and mislead decision makers
Truncating the y-axis amplifies visual differences that are proportionally small, which can mislead decision makers.