[4] Let $x_1,x_2,\ldots,x_{100}$ be defined so that for each $i$, $x_i$ is a (uniformly) random integer between $1$ and $6$ inclusive. Find the expected number of integers in the set $\{x_1,x_1+x_2,\ldots,x_1+x_2+\cdots+x_{100}\}$ that are multiples of $6$.
1. Define the random variables \( x_1, x_2, \ldots, x_{100} \) such that each \( x_i \) is a uniformly random integer between 1 and 6 inclusive. This means each \( x_i \) has an equal probability of \(\frac{1}{6}\) of being any of the integers 1, 2, 3, 4, 5, or 6.

2. Consider the set \( \{x_1, x_1 + x_2, \ldots, x_1 + x_2 + \cdots + x_{100}\} \). We are interested in finding the expected number of elements in this set that are multiples of 6.

3. Let \( S_i = x_1 + x_2 + \cdots + x_i \) for \( i = 1, 2, \ldots, 100 \). We need to find the expected number of \( S_i \) that are multiples of 6.

4. Define an indicator random variable \( I_i \) for each \( S_i \) such that:
   \[
   I_i = 
   \begin{cases} 
   1 & \text{if } S_i \equiv 0 \pmod{6} \\
   0 & \text{otherwise}
   \end{cases}
   \]

5. The expected value of \( I_i \), \( \mathbb{E}[I_i] \), is the probability that \( S_i \) is a multiple of 6. Since \( x_i \) are uniformly distributed and independent, the sum \( S_i \) modulo 6 is uniformly distributed over the set \(\{0, 1, 2, 3, 4, 5\}\). Therefore, the probability that \( S_i \equiv 0 \pmod{6} \) is \(\frac{1}{6}\).

6. Thus, \( \mathbb{E}[I_i] = \frac{1}{6} \).

7. By the Linearity of Expectation, the expected number of \( S_i \) that are multiples of 6 is:
   \[
   \mathbb{E}\left[\sum_{i=1}^{100} I_i\right] = \sum_{i=1}^{100} \mathbb{E}[I_i] = 100 \cdot \frac{1}{6} = \frac{100}{6} = \frac{50}{3}
   \]

8. Therefore, the expected number of integers in the set \( \{x_1, x_1 + x_2, \ldots, x_1 + x_2 + \cdots + x_{100}\} \) that are multiples of 6 is \(\frac{50}{3}\).

The final answer is \(\boxed{\frac{50}{3}}\).