The mean of a population being sampled is 64, and the standard deviation is 6. if the sample size is 50, the standard error of the mean is

The standard error of the mean is viewed as the standard deviation of the error in the sample mean in relation to the true mean. It is expressed as the ratio of the sample standard deviation and the square root of the sample size.

SE = s / √n
SE = 6 / √50
SE = 0.85