Standard +0.3 This is a straightforward application of geometric distribution with clearly defined success probability (1/3). Parts involve standard formulas: mean = 1/p, P(X > n) = (1-p)^n, and solving an inequality with logarithms. While it requires multiple steps and understanding of the geometric distribution, all techniques are routine for Further Maths students with no novel problem-solving required.
6 A fair die is thrown until a 5 or a 6 is obtained. The number of throws taken is denoted by the random variable \(X\). State the mean value of \(X\).
Find the probability that obtaining a 5 or a 6 takes more than 8 throws.
Find the least integer \(n\) such that the probability of obtaining a 5 or a 6 in fewer than \(n\) throws is more than 0.99.
6 A fair die is thrown until a 5 or a 6 is obtained. The number of throws taken is denoted by the random variable $X$. State the mean value of $X$.
Find the probability that obtaining a 5 or a 6 takes more than 8 throws.
Find the least integer $n$ such that the probability of obtaining a 5 or a 6 in fewer than $n$ throws is more than 0.99.
\hfill \mbox{\textit{CAIE FP2 2013 Q6 [6]}}