To find the probability that \( X > 38 \) for a normal distribution with mean \( \mu = 45 \) and standard deviation \( \sigma = 4 \), we first calculate the Z-score for \( X = 38 \):
\[
Z = \frac{X - \mu}{\sigma} = \frac{38 - 45}{4} = -1.75
\]
Using the cumulative distribution function (CDF) for the standard normal distribution, we find:
\[
P(X > 38) = 1 - \Phi(-1.75) = 1 - 0.0401 = 0.9599
\]
To find the probability that \( X < 37 \), we calculate the Z-score for \( X = 37 \):
\[
Z = \frac{X - \mu}{\sigma} = \frac{37 - 45}{4} = -2.0
\]
Using the CDF for the standard normal distribution, we find:
\[
P(X < 37) = \Phi(-2.0) = 0.0228
\]
We need to find the \( X \)-value such that 7% of the values are less than \( X \). This corresponds to finding the 7th percentile of the distribution. The Z-score for the 7th percentile is approximately \( -1.4758 \).
Using the Z-score formula, we solve for \( X \):
\[
X = \mu + Z \cdot \sigma = 45 + (-1.4758) \cdot 4 = 39.0968
\]
Rounding to the nearest integer, we find:
\[
X = 39
\]
- \( P(X > 38) = \boxed{0.9599} \)
- \( P(X < 37) = \boxed{0.0228} \)
- \( X \) for 7% = \boxed{39} \)