Final answer:
A sample of size 120 is most likely to yield an estimate closest to the actual population parameter because larger samples tend to produce more accurate estimates as stated by the law of large numbers.
Step-by-step explanation:
The estimate obtained from a sample is likely to be closest to the actual parameter value of a population when the sample size is larger. Among the options given, 120 is the highest number, therefore, a sample of size 120 (Option B) is most likely to yield an estimate that is nearest to the actual parameter value of the population.
According to the law of large numbers, as sample size increases, the sample mean tends to approach the population mean. This is why we can say with more confidence that an estimate from a larger sample will be closer to the true population parameter.