Step 1: Finding \( k \).
We are given the probability density function \( f(x) \). To determine the constant \( k \), we use the fact that the total probability must sum to 1, i.e.,
\[
\int_0^2 \frac{x}{8} \, dx + \int_2^4 k \, dx + \int_4^6 \frac{6 - x}{8} \, dx = 1.
\]
Solving for \( k \), we find that \( k = \frac{1}{4} \).
Step 2: Finding \( P(1<X<5) \).
Now, we compute \( P(1<X<5) \) by integrating the probability density function over the appropriate range:
\[
P(1<X<5) = \int_1^2 \frac{x}{8} \, dx + \int_2^4 \frac{1}{4} \, dx + \int_4^5 \frac{6 - x}{8} \, dx.
\]
Evaluating these integrals gives the result approximately between 0.87 and 0.88.
Step 3: Conclusion.
Thus, \( P(1<X<5) \) is approximately \( 0.87 \) to \( 0.88 \).