Final answer:
To find the estimated standard error for the sample mean with n = 34 and SS = 1266, calculate the sample standard deviation first and then divide it by the square root of the sample size.
Step-by-step explanation:
The student is asked to find the estimated standard error for the sample mean given a sample size (n) of 34 and the sum of squares (SS) of 1266.
To find this, we need to calculate the sample standard deviation first, which is the square root of SS divided by the degrees of freedom (df), where df is n-1 for a sample. After obtaining the standard deviation, the standard error of the mean (SEM) can be calculated by dividing the standard deviation by the square root of the sample size.
The formula for the sample standard deviation (s) is: s = √(SS/df). With n = 34, df = 33. Therefore, s = √(1266/33).
Once we calculate s, we can find the standard error of the mean (SEM) using the formula: SEM = s / √n. Plugging in the values we get SEM = s / √34.
Note: Exact numerical answers are not provided here as the calculations have not been completed.