a)
The drug causes side effects for 18% of patients, that is, every patient who was exposed to the drug has p = 18% chance of have side effects.
If X represent the number of patients who experience side effects betwen n = 230 observed, and considering a binomial distribution, we have:
![\begin{gathered} Mean(X)=n\cdot p \\ Mean(X)=230\cdot0.18 \\ Mean(X)=41.4 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/high-school/bd64zedlhhuaxfw4y1gnql0xmp4weyyfox.png)
Since or data set only deals with whole numbers, we can approximate the mean to 41
The variance is given by:
![\begin{gathered} Var(X)=n\cdot p\cdot(1-p) \\ Var(X)=230\cdot0.18\cdot(1-0.18) \\ Var(X)=33.9\approx40 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/high-school/t4qkph5x3olvghaumk8du5hra7opbro4zx.png)
Then, the standard deviation of X is:
![\begin{gathered} \sigma=√(Var(X)) \\ \sigma=√(50) \\ \sigma\approx6 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/high-school/cwwy0ccwc4chu7629iwg3s4dknszoj5wrv.png)
b)
The mean is the expected value of a variable. That is, most probable value to be identified,
c)
Since the 95% tolerance range is between 29 and 53, is would be usual if 32 patients experience side effects