ICGB · Question #148
Hypothesis Testing can help avoid high costs of experimental efforts by using existing data.
The correct answer is A. True. Hypothesis testing allows researchers to draw statistical conclusions from existing datasets, eliminating the need to design and run costly new experiments from scratch. By applying statistical tests to data already collected, organizations can evaluate claims, compare groups…
Question
Hypothesis Testing can help avoid high costs of experimental efforts by using existing data.
Options
- ATrue
- BFalse
How the community answered
(23 responses)- A70% (16)
- B30% (7)
Explanation
Hypothesis testing allows researchers to draw statistical conclusions from existing datasets, eliminating the need to design and run costly new experiments from scratch. By applying statistical tests to data already collected, organizations can evaluate claims, compare groups, or identify relationships without incurring additional experimental expenditure. This is particularly valuable in fields like medicine, economics, and engineering where large-scale experiments are expensive or time-consuming.
Why B is wrong: "False" would imply hypothesis testing requires new experimental data, but that contradicts its core utility - it is specifically designed to extract meaningful inferences from data that already exists.
Memory tip: Think of hypothesis testing as a "data recycling" tool - you squeeze maximum insight out of data you already have, rather than spending more to collect new data.
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