The life, in hours, of a randomly chosen light bulb produced by a manufacturer is normally distributed with mean \(1100\) and standard deviation \(70\). How large a sample is required such that the probability that the mean life in the sample shall exceed \(1120\) is not more than \(5\%\)?
Do you need to use Central Limit Theorem in your working?
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