Which variable is most likely to influence the duration of an activity based on the Adobe Sample Size Calculator?

Question

Options

• AConfidence Interval
• BBounce Rate
• CTraffic Volume
• DPage Load Speed

• A
  7% (2)
• B
  4% (1)
• C
  71% (20)
• D
  18% (5)

Explanation

Traffic Volume directly determines how quickly an activity accumulates the visitor count needed to reach statistical significance - with low traffic, you must run the test longer to gather enough data, while high traffic shortens the required duration proportionally. The Adobe Sample Size Calculator outputs a required number of visitors; dividing that by your daily traffic is what produces the estimated duration, making Traffic Volume the dominant lever.

Why the distractors are wrong:

• Confidence Interval (A): This affects how many visitors are required (larger confidence = bigger sample), but once the sample size is set, it's still traffic that determines how fast you reach it.
• Bounce Rate (B): Not a direct input in Adobe's Sample Size Calculator; it may affect conversion metrics but doesn't drive the duration estimate.
• Page Load Speed (D): Completely outside the scope of the calculator - it may impact conversions in practice but is irrelevant to sample size math.

Memory tip: Think of the calculator output as a finish line (sample size). Traffic Volume is your speed toward that line - slow traffic, long race. Everything else just moves the finish line slightly; traffic determines when you actually cross it.

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