A small ceramic workshop produces 100 plates each working day. Some of the plates turn out to be faulty.
Assume now that the number of faulty plates produced each working day has the distribution \(\mathrm{B}(100, p)\).
The workshop also produces bowls on each working day. The number of faulty bowls also follows a binomial distribution. The probability that a bowl is faulty is \(q\). Faults on plates are independent of faults on bowls. The plates and bowls are sold in sets of \(2\) randomly chosen bowls and \(2\) randomly chosen plates. In the case where \(p = 0.01\), the probability that a set contains at most \(1\) faulty item is \(0.88\).
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