Step-by-step explanation:
The population standard deviation is always larger than the standard error when the sample size is greater than one (n > 1) because the population standard deviation reflects the variability of the entire population, while the standard error reflects the variability of a sample. As the sample size increases, the variability of the sample will become closer to that of the population as whole, and so the population standard deviation will be greater than the standard error.