What effect does increasing the sample size have on a distribution of sample means?

If the number of samples is increased, this actually leads to a reduction in error of the distribution. This is because of the relationship between variation and sample size which has the formula of:

σx = σ / sqrt (n)

So from the formula we can actually see that the variation and sample size is inversely proportional.

Which means that increasing the sample size results in a reduction of variation.

It will have less variation

the perimeter is increased by a factor of 2