Hi Lucy,
Standard normal means the distribution has a mean (mu) of 0 and standard deviation (sigma) of 1. The classic equation in introductory statistics:
z = x - mu / sigma
For your problem:
z1 = (-2.7 - 0)/1
That works out to z = -2.7, and your second value works out to z2 = 0.17. That's the main property of the standard normal distribution. Now, go to the z-table and look up the probabilities for both of those values:
P(Z< -2.7) = 0.0035
P(Z< 0.17) = 0.5675
Now, you were given a range, i.e. a < x < b. This means you must subtract the lower probability from the higher. So:
P = 0.5675 - 0.0035
P = 0.5640
I hope this helps.