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In which experiment is a large sample size most necessary to handle natural variation?

Answer and explanation

Correct answer: Testing the effect of different water amounts on seed germination

Direct answer: Option A, testing different water amounts on seed germination, most needs a large sample size. Individual seeds naturally differ in viability, age, genetics, and health. If only a few seeds are used, one unusually weak or strong seed can strongly affect the result. Using many seeds in each water group reduces the influence of individual differences, makes averages more stable, and helps reveal the general effect of water amount. Option A is correct because germination is a biological process with natural variation. Option B is wrong: calibrating one thermometer concerns one instrument, not a variable population of living subjects. Option C is wrong for the same reason; checking one ruler does not require many specimens. Option D is wrong because measuring one container is a single-object measurement, not a sample-based biological comparison. The groups should also be similar, randomly assigned, and given equal light and temperature. Memory cue: biological variation calls for replication and larger samples.

Related tags

Sample-SizeNatural-VariationSeed-GerminationWaterHypothesis And ExperimentationExploration: Entering The World Of Secondary ScienceExploration Entering The World Of Secondary ScienceScience

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