Moderate -0.8 This is a straightforward application of the geometric distribution with standard formulas. Part (i) requires direct substitution into P(X=k)=(1-p)^(k-1)×p, part (ii) is immediate recall that E(N)=1/p=100, and part (iii) uses the cumulative distribution formula 1-(1-p)^n>0.9, requiring only logarithms to solve. All three parts are routine textbook exercises with no problem-solving insight required, making this easier than average despite being Further Maths content.
The probability that a particular type of light bulb is defective is \(0.01\). A large number of these bulbs are tested, one by one. Assuming independence, find the probability that the tenth bulb tested is the first to be found defective.
[2]
The first defective bulb is the \(N\)th to be tested. Write down the value of E(\(N\)).
[1]
Find the least value of \(n\) such that P(\(N \leqslant n\)) is greater than \(0.9\).
[3]
The probability that a particular type of light bulb is defective is $0.01$. A large number of these bulbs are tested, one by one. Assuming independence, find the probability that the tenth bulb tested is the first to be found defective.
[2]
The first defective bulb is the $N$th to be tested. Write down the value of E($N$).
[1]
Find the least value of $n$ such that P($N \leqslant n$) is greater than $0.9$.
[3]
\hfill \mbox{\textit{CAIE FP2 2012 Q6 [6]}}