StevenX
12-06-2005, 11:27 AM
Hi, I'm looking through some past papers for an exam I have this weekend and have come across this strange binomial distribution question, that's very confusing.. Here it is:
A series of wall covering tiles is tested to determine the temperature at which a tile will ignite. The testing laboratory reports that the mean temperature is 290 degrees C, with a standard deviation of 40C. The testing lab also indicated that the data obtained follows a Gaussian distribution. The authorities require that no ignition should occur up to a temperature of 280C. Therefore, the owner of the building decides to conduct a full scale test where he imposes 280C on a square wall with 32 tiles. What is the probability that at least one will ignite?
What I've done so far is calculate the transformed value (to a standardised normal variate) - x-x(bar)/s = 280-290/40 = -0.25.
I then got P(X=0.25) from the table as 0.5987, but I'm really confused with all this stuff and don't know where to go from here, or even if I've got any of that stuff right.. Please help! :)
A series of wall covering tiles is tested to determine the temperature at which a tile will ignite. The testing laboratory reports that the mean temperature is 290 degrees C, with a standard deviation of 40C. The testing lab also indicated that the data obtained follows a Gaussian distribution. The authorities require that no ignition should occur up to a temperature of 280C. Therefore, the owner of the building decides to conduct a full scale test where he imposes 280C on a square wall with 32 tiles. What is the probability that at least one will ignite?
What I've done so far is calculate the transformed value (to a standardised normal variate) - x-x(bar)/s = 280-290/40 = -0.25.
I then got P(X=0.25) from the table as 0.5987, but I'm really confused with all this stuff and don't know where to go from here, or even if I've got any of that stuff right.. Please help! :)