Final answer:
A larger sample size provides a more accurate estimate of the population parameter.
Step-by-step explanation:
The estimate obtained from a larger sample size would most likely be closer to the actual parameter value of a population. According to the law of large numbers, as the sample size increases, the sample mean tends to approach the population mean. This means that a larger sample size provides a more accurate estimate of the population parameter. For example, if we took repeated samples, we would expect the mean from a sample of size 100 to be nearer to the population mean compared to a sample of size 10.