Final answer:
The standard deviation for the sample sum distribution is 1.15.
Step-by-step explanation:
The standard deviation for the sample sum distribution can be calculated using the Central Limit Theorem for Sums. According to the theorem, the standard deviation is equal to the population standard deviation divided by the square root of the sample size. In this case, the population standard deviation is 10, and the sample size is 75. Therefore, the standard deviation for the sample sum distribution is 10 / sqrt(75) = 1.15. Rounded to two decimal places, the standard deviation is 1.15.