Final answer:
The estimated standard error of sample means for a sample size of 35 can be calculated by dividing the sample standard deviation by the square root of the sample size.
Step-by-step explanation:
The estimated standard error of sample means can be calculated using the formula standard deviation / sqrt(sample size). In this scenario, the sample standard deviation is 2.81 and the sample size is 35. So, the estimated standard error of sample means would be 2.81 / sqrt(35).
To calculate the estimated standard error, simplify the square root and divide the standard deviation by the simplified value of the square root, which is approximately 5.92. So, the estimated standard error of sample means for a sample size of 35 is approximately 0.47 rounded to two decimal places.