Because you're looking at the middle 70%, you should have 15% on both sides. You can find the corresponding z-score either in the table or in Excel using norm.inv(0.15,0,1) and norm.inv(0.85,0,1). Both methods will get you z-scores of ±1.04. So to find the x1 and x2 values, we simply add and subtract 1.04 standard deviations from the mean
6 ± 1.1•1.04 = 4.856 or 7.144
So our values are x1=4.856 and x2 = 7.144.
P.S. If you have Excel to work with for the whole problem, you can technically do the same norm.inv functions, but change the mean from 0 to 6 and standard deviation from 1 to 1.1.