Standard normal probability above a negative value and an upper bound from a given central probability

The random variable \(Z\) follows the standard normal distribution, \(Z\sim\mathrm{N}(0,1)\).

1. Find \(\mathrm{P}(Z>-0.8)\).[1]

The constant \(b\) is such that \(\mathrm{P}(-0.8<Z<b)=0.6\).

2. On the axes below, shade the region whose area represents \(\mathrm{P}(-0.8<Z<b)\), marking \(b\) on the \(z\)-axis.[1]
3. Hence, or otherwise, find \(b\).[2]