The total number of light bulbs in the bin is \( 77 \), and the number of defective bulbs is \( 10 \). Therefore, the number of good bulbs is given by:
\[
\text{Good bulbs} = 77 - 10 = 67
\]
The probability \( p \) of selecting a good bulb is calculated as:
\[
p = \frac{\text{Good bulbs}}{\text{Total bulbs}} = \frac{67}{77}
\]
We are selecting \( n = 6 \) light bulbs with replacement. We want to find the probability that all selected bulbs are good, which means we are looking for \( k = 6 \) successes (good bulbs).
The probability of exactly \( k \) successes in \( n \) trials for a binomial distribution is given by the formula:
\[
P(X = k) = \binom{n}{k} p^k (1-p)^{n-k}
\]
In our case, we need to calculate:
\[
P(X = 6) = \binom{6}{6} \left(\frac{67}{77}\right)^6 \left(1 - \frac{67}{77}\right)^{6-6}
\]
Since \( \binom{6}{6} = 1 \) and \( (1 - p)^{0} = 1 \), the formula simplifies to:
\[
P(X = 6) = \left(\frac{67}{77}\right)^6
\]
After performing the calculations, we find that the probability that all selected bulbs are good is:
\[
P(X = 6) \approx 0.434
\]
This value represents the probability that all 6 light bulbs selected from the bin are good ones.