A binary string is a string consisting of only 0’s and 1’s (for instance, 001010, 101, etc.). What is the probability that a randomly chosen binary string of length 10 has 2 consecutive 0’s? Express your answer as a fraction.
To find the probability that a randomly chosen binary string of length 10 has 2 consecutive 0’s, we will use complementary counting. This means we will first count the number of binary strings of length 10 that do not have 2 consecutive 0’s, and then subtract this from the total number of binary strings of length 10.

1. **Total number of binary strings of length 10:**
   \[
   2^{10} = 1024
   \]

2. **Counting binary strings without consecutive 0’s:**
   - **Case 1: All 1’s**
     \[
     1 \text{ way}
     \]

   - **Case 2: One 0**
     \[
     \binom{10}{1} = 10 \text{ ways}
     \]

   - **Case 3: Two 0’s**
     - Total ways to choose 2 positions out of 10:
       \[
       \binom{10}{2} = 45
       \]
     - Subtract the ways where the 0’s are consecutive:
       \[
       9 \text{ ways (positions 00 can be placed: 00xxxxxxx, x00xxxxxx, ..., xxxxxxxx00)}
       \]
     - Therefore, the number of ways with no consecutive 0’s:
       \[
       45 - 9 = 36
       \]

   - **Case 4: Three 0’s**
     - The 0’s must be separated by at least one 1, so the pattern is 01010. We have 5 remaining 1’s to place in 4 gaps (before the first 0, between 0’s, and after the last 0):
       \[
       \binom{8}{3} = 56
       \]

   - **Case 5: Four 0’s**
     - The pattern is 0101010. We have 3 remaining 1’s to place in 5 gaps:
       \[
       \binom{7}{4} = 35
       \]

   - **Case 6: Five 0’s**
     - The pattern is 010101010. We have 1 remaining 1 to place in 6 gaps:
       \[
       \binom{6}{5} = 6
       \]

   - **Summing all cases:**
     \[
     1 + 10 + 36 + 56 + 35 + 6 = 144
     \]

3. **Calculating the probability:**
   - Number of binary strings with at least one pair of consecutive 0’s:
     \[
     1024 - 144 = 880
     \]
   - Probability:
     \[
     \frac{880}{1024} = 1 - \frac{144}{1024} = 1 - \frac{9}{64} = \frac{55}{64}
     \]

The final answer is \(\boxed{\frac{55}{64}}\)