Answer:
1. It reduces the probability of sampling bias.
2. A random sample will be more representative of the whole population.
3. Allows the researcher to determine the efficacy of the fertilizer.
Explanation:
Selecting a simple random simple from a large population is a widely used method in science. Researchers select a random sample so every individual, in this case seedling, has an equal chance to be selected.
Therefore, it is an accurate method that, although is not free from errors, avoids or reduces the probability of sampling bias. Selecting a truly random tomato seedling will be more representative of the whole population of seedling instead of selecting carefully a seedling that already has specific or desired characteristics. Hence, this random sampling will allow the researcher to determine the efficacy of the fertilizer.
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