Challenging +1.2 This is a standard application of the Central Limit Theorem requiring students to work with sums of normal random variables, find probabilities using normal approximation, determine sample sizes from probability constraints, and compare two independent normal distributions. While it involves multiple parts and requires careful setup of the difference of two normals in part (c), each step follows well-established procedures taught in Further Statistics without requiring novel insight or complex problem-solving beyond textbook methods.
Aram is a packer at a supermarket checkout and the time he takes to pack a randomly chosen item has mean 1.5 s and standard deviation 0.4 s . Justifying any approximation that you make, find the probability that Aram will pack 50 randomly chosen items in less than 70 s .
Find the greatest number of items that Aram could pack within 70 s with probability at least \(90 \%\).
Huldu is also a packer at the supermarket. The time that she takes to pack a randomly chosen item has mean 1.3 s and standard deviation 0.5 s . Aram and Huldu each have 50 items to pack. Find the probability that Huldu takes a shorter time than Aram.
Aram is a packer at a supermarket checkout and the time he takes to pack a randomly chosen item has mean 1.5 s and standard deviation 0.4 s . Justifying any approximation that you make, find the probability that Aram will pack 50 randomly chosen items in less than 70 s .
Find the greatest number of items that Aram could pack within 70 s with probability at least $90 \%$.
Huldu is also a packer at the supermarket. The time that she takes to pack a randomly chosen item has mean 1.3 s and standard deviation 0.5 s . Aram and Huldu each have 50 items to pack. Find the probability that Huldu takes a shorter time than Aram.
\hfill \mbox{\textit{CAIE FP2 2010 Q11 OR}}