Answer:
P(47.85 < x) = 0.9987
Explanation:
you must find the probability P(47.85 < x)
therefore, using the normal distribution:
finding z:
Z = (x-μ)/σ/() [1]
where:
x is the raw measurement
μ is the mean
σ is the standard deviation
n is the sample size
our information is:
μ = 46.2 hours, σ = 0.55 hours, n = 1, x = 47.85
so replacing:

now you look at the normal distribution table and find Z score:
an this is 0.9987, you can check in the attached table.
so P(x<47.85) = 0.9987.or 99.87%