GRE General TestAnalytical WritingHard
A marketing firm claims that a new advertising campaign increased product sales by 20%. Critics argue that this increase is merely a seasonal fluctuation, as sales typically rise during this period every year. What additional information would be most crucial to evaluate the marketing firm's claim and the critics' counter-argument?
- ASales data for competing products during the same period.
- BThe total budget allocated to the new advertising campaign.
- CSales data for the product during the same period in previous years, prior to the new campaign.
- DCustomer feedback on the new advertising campaign's effectiveness.
Show answer & explanationAnswer & explanation
Correct answer: C. Sales data for the product during the same period in previous years, prior to the new campaign.
To determine if the 20% sales increase is due to the campaign or seasonal fluctuation, one must compare the current sales increase to typical seasonal increases. Sales data from previous years during the same period (before the campaign) provides this baseline, allowing for a more accurate assessment of the campaign's unique impact.
Why the other options are wrong
- A. Sales data for competing products could show market trends, but wouldn't directly isolate the effect of *this specific campaign* from seasonal fluctuations for *this product*.
- B. The budget is relevant for cost-benefit analysis, but not for disentangling seasonal effects from campaign effects.
- D. While interesting, customer feedback doesn't directly address whether the sales increase is due to the campaign or seasonality.
Controlling for Confounding Variables
Controlling for confounding variables involves identifying and accounting for other factors that might influence both the independent and dependent variables, thereby clarifying the true relationship between the variables of interest.
- Crucial for establishing causation, not just correlation.
- Can involve experimental design, statistical adjustments, or comparative analysis.
- Helps isolate the effect of the variable being studied.
Memory trick: Causal claims need CAREFUL controls.