4.15 Central limit theoremIB Maths: Applications and Interpretation HL: Mind map
What this mind map covers
- Linear combinations
- Sample mean
- CLT
- Simulation
- Method
- Exam tips
Exam questions on 4.15 Central limit theorem
- The mass kg of a bag of flour is normally distributed with mean kg and standard deviation kg. A random sample of bags is taken, with masses independent of each other, and is the mean mass of the sample.Explain why is exactly normally distributed here, even though the sample size is only .2 marks
- The mass of an adult passenger, kg, is normally distributed with mean kg and standard deviation kg. Passenger masses are independent of each other.A lift is overloaded if the total mass of six passengers exceeds kg. Use your GDC to find the probability that the lift is overloaded.2 marks
- The waiting time minutes of a caller at a call centre has mean minutes and standard deviation minutes. The distribution of is positively skewed, so it is not normal. A random sample of calls is taken and is the mean waiting time of the sample.State the approximate distribution of , giving the reason why the approximation is valid and its parameters.3 marks
Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).