Date | May 2022 | Marks available | 3 | Reference code | 22M.1.AHL.TZ1.12 |
Level | Additional Higher Level | Paper | Paper 1 | Time zone | Time zone 1 |
Command term | Find | Question number | 12 | Adapted from | N/A |
Question
The strength of earthquakes is measured on the Richter magnitude scale, with values typically between and where is the most severe.
The Gutenberg–Richter equation gives the average number of earthquakes per year, , which have a magnitude of at least . For a particular region the equation is
, for some .
This region has an average of earthquakes per year with a magnitude of at least .
The equation for this region can also be written as .
Within this region the most severe earthquake recorded had a magnitude of .
The number of earthquakes in a given year with a magnitude of at least can be modelled by a Poisson distribution, with mean . The number of earthquakes in one year is independent of the number of earthquakes in any other year.
Let be the number of years between the earthquake of magnitude and the next earthquake of at least this magnitude.
Find the value of .
Find the value of .
Find the average number of earthquakes in a year with a magnitude of at least .
Find .
Markscheme
(M1)
A1
[2 marks]
EITHER
(M1)
OR
(M1)
THEN
A1
[2 marks]
A1
Note: Do not accept an answer of .
[1 mark]
METHOD 1
no earthquakes in the first years (M1)
EITHER
let be the number of earthquakes of at least magnitude in a year
(M1)
OR
let be the number of earthquakes in years
(M1)
THEN
A1
METHOD 2
no earthquakes in the first years (M1)
let be the number of earthquakes in years
since is large and is small
(M1)
A1
[3 marks]
Examiners report
Parts (a), (b), and (c) were accessible to many candidates who earned full marks with the manipulation of logs and indices presenting no problems. Part (d), however, proved to be too difficult for most and very few correct attempts were seen. As in question 9, most candidates relied on calculator notation when using the Poisson distribution. The discipline of defining a random variable in terms of its distribution and parameters helps to conceptualize the problem in terms that aid a better understanding. Most candidates who attempted this question blindly entered values into the Poisson distribution calculator and were unable to earn any marks. There were a couple of correct solutions using a binomial distribution to approximate the given quantity.