Final answer:
Without the sample standard deviation, we cannot compute the standard error for x = 125 and n = 259. The standard error is calculated by dividing the sample standard deviation by the square root of the sample size (n).
Step-by-step explanation:
To find the standard error for the given values of x and n, where x = 125 and n = 259, we need to have a measure of the sample standard deviation. In the details provided, there is not enough information to calculate the standard error directly, because the sample standard deviation for this particular case is not given. Standard error is calculated using the formula SE = s / √n, where 's' is the sample standard deviation and 'n' is the sample size.
Without knowing the sample standard deviation for the values x = 125 and n = 259, we cannot provide a numerical answer. If we had the sample standard deviation, we would plug it into the formula along with n = 259 to get the standard error.
For example, if another question provides a sample standard deviation, say sample standard deviation (s) is $34.29 and the sample size (n) is 8, then the standard error (SE) would be calculated as SE = $34.29 / √8, yielding a specific numerical value.