I was studying the simulated annealing algorithm and this part came up in example. I don't understand how to find p{standard normal =< -1.45} = 0.0735 part. When I use the normal table to find 0.0735 I can't find the value -1.45, what am I missing?

The next step is to generate a random observation N(0,5.167) from a normal distribution with mean zero and this standard deviation. To do this, first obtain a random number, which happens to be 0.0735 . Going to the normal table, P{ standard normal 1.45}=0.0735, so N(0,5.167)=1.45(5.167)=7.5. The current candidate to be the next trial solution then is obtained by resetting x as x=15.5+N(0,5.167)=15.57.5=8, so that Zn=f(x)=3,055,616