Answer: d) decreases
Step-by-step explanation:
The standard error of the mean (SEM) measures the variability of sample means around the population mean.
As the sample size increases, the SEM decreases because larger sample sizes provide more precise estimates of the population mean.
This is due to the fact that with larger samples, there is less variability in the sample means, resulting in a smaller standard error.
So, as the sample size increases, the standard error of the mean d) decreases.
