Answer:
The probability that more than 775 of the rivets meet the specifications is 0.2327.
Explanation:
Let X₁ and X₂ be the number of rivets that meet specification from vendor A and B respectively.
The proportions of rivets that meet specification from vendor A is, p₁.
The proportions of rivets that meet specification from vendor B is, p₂.
The sample of rivets selected from each vendor is, n₁ = n₂ = 510.
The random variables X₁ and X₂ follow Binomial distribution.
But, since the sample selected from each population is large a Normal approximation to Binomial can be used if:
- np ≥ 10
- n(1 - p) ≥ 10
Check the conditions for both the population as follows:

Thus, the Normal approximation to Binomial can be used.

Since both sample are independent then the distribution of X₁ + X₂ is:

Compute the probability of the event (X₁ + X₂ > 775) as follows:

*Use a standard normal table.
Thus, the probability that more than 775 of the rivets meet the specifications is 0.2327.