Since the number of days is normally distributed, we can use a z-score table to find the percentage under a certain value in the distribution.
To do this, we first need to convert the value to a z-score by using:
![z=(x-\mu)/(\sigma)](https://img.qammunity.org/2023/formulas/mathematics/college/h06hsre30elxbqnbdkqzw5pbp57988qa0r.png)
Where z is the z-score, x is the value we want to convert, μ is the mean and σ is the standard deviation.
Since we want the bound value of 10 days, we will convert this to z-score:
![z=(10-8)/(0.9)=(2)/(0.9)\approx2.222](https://img.qammunity.org/2023/formulas/mathematics/college/o851h4vrj1or0p9dnh4qwlc2cjfyjp0000.png)
So, in a z-score table, we can consult the probability of having a value under a certain z-score. for this case, we have:
![P(z<2.222)\approx0.9869](https://img.qammunity.org/2023/formulas/mathematics/college/2jfvpq3jdme3ko5mfol76arqgjljbats3v.png)
However, we want the probability, or the percentage, of patiens to get ill more than 10 days, in terms of z, this means:
![P(z>2.222)=?](https://img.qammunity.org/2023/formulas/mathematics/college/ssaca6bg3llwnhlgwjdn4mc5lzufchh5z8.png)
Since the whole normal distribution has a percentage of 100%, that is, 1, if we add the percentage less than and greater than 2.222, we wil have 1, so:
![\begin{gathered} P(z<2.222)+P(z>2.222)=1 \\ P(z>2.222)=1-P(z<2.222) \\ P(z>2.222)=1-0.9869 \\ P(z>2.222)=0.0131=1.31\% \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/fys6v9f7srpvbz1zi22cia5ptraovegvum.png)
Which corresponds to alternative A.