What happen to the standard error if the sample is increasing?

As the sample size increases, the standard error decreases. This is because the standard error is calculated as the standard deviation of the sample divided by the square root of the sample size (n). A larger sample size provides a more accurate estimate of the population parameter, leading to less variability in the sample mean and thus a smaller standard error. Consequently, this results in narrower confidence intervals for the estimated population parameter.