In order to find the interval for 95% of the sample proportions, we need to find the z-scores for the interval of 95% in the normal distribution.
To do so, we can find the z value for 2.5% and 97.5% (this way, we can subtract then and find the interval of 95%).
Looking at the table, we have that z1 = -1.96 for 0.025 and z2 = 1.96 for 0.975.
Now, finding the interval, we have that:

So the interval is from 70.9216 to 71.0784.