We know that the distribution is normal with mean 17 and standard deviation 4; in this case we need to find:

Using the properties of the binomial distribution this is equal to:

To find the probability on the right we will standardize the distribution, then we need the z-score which is given by:

Then we have:

Using a standard normal distribution table we have:

Therefore, the probability that the trial lasts at least 18 days is 0.4013