For the 1st problem I find it sometimes helpful to think about the inverse question - this can be especially useful when you are trying to find the probability where any one positive outcome means success. In this case Capuchin has shown how to calculate the probablilty that either the first alarm works, or if the first alarm fails that the second works, or if both the first and second fail that the third works, etc. It might be easier to think of the opposite question - that is, how many alarms do you need so that the probability of all the alarms working together and yet NOT catching the burglar is less than 0.1. This is an easier thing to calculate, as the probability that any one alarm will fail is 1- .6 = .4, and the probabilty that N alarms will all fail is 0.4 x 0.4 x 0.4 X... (N terms). So how many times do you need to multiply 0.4 by itself to generate a number that is less than 0.1? You get the same answer as Capuchin gave, but this approach might be a little easier to envision.
As for the 2nd problem - I could be wrong but I think this is a bit more complicted than Capuchin suggested. It looks to me like a conditional probability problem, where you would use the form P(W & P) = P(W|P) x P(P), where P(P&W) is the probability of passing both exams, P(W|P) is the probaility of passsing the written given that you pass the physical, and P(P) means passing the physical. However, the data you gave doesn't quite match the terms here ,which makes me wonder - are you sure you wrote the problem correctly?
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