Hi Kristen,
The mean of a sampling distribution will be the mean of the population/probability distribution. So in this example, it would be 139 feet.
The standard deviation of the sampling distribution, what is also referred to as standard error, is the standard deviation of the population/probability distribution divided by the square root of the sample size (n). So in this example, it would be 10.7 divided by the square root of 35.
Please let me know if that explanation helps or if you have any other questions.
Best,
Mike