In June $2017$, a cyberattack named NotPetya spread all over the world. Big companies like Marex, Merck, and FedEx's TNT Express lost a lot of money because of this attack.
| Company | Pre-attack Average Monthly Revenue (USD million) | Post-Attack Average Monthly Revenue (USD million) |
| Marex | $1000$ | $700$ |
| Merc | $800$ | $480$ |
| TNT Expanse | $500$ | $250$ |
Table 1: Financial impact of NotPetya attack on three major companies
Assuming the monthly revenue of Marex follows a Gaussian distribution with a standard deviation of $75$, $(i)$ what is the probability that Marex's revenue will be less than $\$ 850$ million in the pre-attack scenario, and (ii) what is the probability that Marex's revenue will be more than $\$ 850$ million in the post-attack scenario?
| $z$ | $P(Z \leq z)$ |
| $-2$ | $0.0227$ |
| $-1$ | $0.1586$ |
| $0$ | $0.5000$ |
| $1$ | $0.8413$ |
| $2$ | $0.9772$ |
Table 2: Note that $Z \sim N(0,1)$