Joint probability of separate processes

Questions asking for the probability that specific events occur in two or more independent Poisson processes separately (e.g., at least 2 men AND at least 3 women), requiring multiplication of individual Poisson probabilities.

9 questions

CAIE S2 2005 June Q6
6 At a petrol station cars arrive independently and at random times at constant average rates of 8 cars per hour travelling east and 5 cars per hour travelling west.
  1. Find the probability that, in a quarter-hour period,
    (a) one or more cars travelling east and one or more cars travelling west will arrive,
    (b) a total of 2 or more cars will arrive.
  2. Find the approximate probability that, in a 12 -hour period, a total of more than 175 cars will arrive.
CAIE S2 2011 November Q7
7 The numbers of men and women who visit a clinic each hour are independent Poisson variables with means 2.4 and 2.8 respectively.
  1. Find the probability that, in a half-hour period,
    (a) 2 or more men and 1 or more women will visit the clinic,
    (b) a total of 3 or more people will visit the clinic.
  2. Find the probability that, in a 10 -hour period, a total of more than 60 people will visit the clinic.
CAIE S2 2016 November Q7
7 Men arrive at a clinic independently and at random, at a constant mean rate of 0.2 per minute. Women arrive at the same clinic independently and at random, at a constant mean rate of 0.3 per minute.
  1. Find the probability that at least 2 men and at least 3 women arrive at the clinic during a 5 -minute period.
  2. Find the probability that fewer than 36 people arrive at the clinic during a 1-hour period.
AQA S2 2011 January Q3
3 Lucy is the captain of her school's cricket team.
The number of catches, \(X\), taken by Lucy during any particular cricket match may be modelled by a Poisson distribution with mean 0.6 . The number of run-outs, \(Y\), effected by Lucy during any particular cricket match may be modelled by a Poisson distribution with mean 0.15 .
  1. Find:
    1. \(\mathrm { P } ( X \leqslant 1 )\);
    2. \(\mathrm { P } ( X \leqslant 1\) and \(Y \geqslant 1 )\).
  2. State the assumption that you made in answering part (a)(ii).
  3. During a particular season, Lucy plays in 16 cricket matches.
    1. Calculate the probability that the number of catches taken by Lucy during this season is exactly 10 .
    2. Determine the probability that the total number of catches taken and run-outs effected by Lucy during this season is at least 15 .
AQA S2 2006 June Q1
1 The number of A-grades, \(X\), achieved in total by students at Lowkey School in their Mathematics examinations each year can be modelled by a Poisson distribution with a mean of 3 .
  1. Determine the probability that, during a 5 -year period, students at Lowkey School achieve a total of more than 18 A -grades in their Mathematics examinations. (3 marks)
  2. The number of A-grades, \(Y\), achieved in total by students at Lowkey School in their English examinations each year can be modelled by a Poisson distribution with a mean of 7 .
    1. Determine the probability that, during a year, students at Lowkey School achieve a total of fewer than 15 A -grades in their Mathematics and English examinations.
    2. What assumption did you make in answering part (b)(i)?
AQA S2 2012 June Q5
5
  1. The number of minor accidents occurring each year at RapidNut engineering company may be modelled by the random variable \(X\) having a Poisson distribution with mean 8.5. Determine the probability that, in any particular year, there are:
    1. at least 9 minor accidents;
    2. more than 5 but fewer than 10 minor accidents.
  2. The number of major accidents occurring each year at RapidNut engineering company may be modelled by the random variable \(Y\) having a Poisson distribution with mean 1.5. Calculate the probability that, in any particular year, there are fewer than 2 major accidents.
  3. The total number of minor and major accidents occurring each year at RapidNut engineering company may be modelled by the random variable \(T\) having the probability distribution $$\mathrm { P } ( T = t ) = \left\{ \begin{array} { c l } \frac { \mathrm { e } ^ { - \lambda } \lambda ^ { t } } { t ! } & t = 0,1,2,3 , \ldots
    0 & \text { otherwise } \end{array} \right.$$ Assuming that the number of minor accidents is independent of the number of major accidents:
    1. state the value of \(\lambda\);
    2. determine \(\mathrm { P } ( T > 16 )\);
    3. calculate the probability that there will be a total of more than 16 accidents in each of at least two out of three years, giving your answer to four decimal places.
WJEC Further Unit 2 2024 June Q1
6 marks
  1. Dave and Llinos like to go fishing. When they go fishing, on average, Dave catches 4.3 fish per day and Llinos catches 3.8 fish per day. A day of fishing is assumed to be 8 hours.
    1. (i) Calculate the probability that they will catch fewer than 2 fish in total on a randomly selected half-day of fishing.
      (ii) Justify any distribution you have used in answering (a)(i).
    2. On a randomly selected day, Dave starts fishing at 7 am. Given that Dave has not caught a fish by 11 am,
      1. find the expected time he catches his first fish,
      2. calculate the probability that he will not catch a fish by 3 pm .
    3. On average, only \(2 \%\) of the fish that Llinos catches are trout. Over the course of a year, she catches 950 fish. Calculate the probability that at least 30 of these fish are trout. [3]
      [0pt] she catches 950 fish. Calculate the probability that at least 30 of these fish are trout. [3]
    4. State, with a reason, a distribution, including any parameters, that could approximate the distribution used in part (c).
    PLEASE DO NOT WRITE ON THIS PAGE
Edexcel FS1 AS 2021 June Q2
  1. Rowan and Alex are both check-in assistants for the same airline. The number of passengers, \(R\), checked in by Rowan during a 30-minute period can be modelled by a Poisson distribution with mean 28
    1. Calculate \(\mathrm { P } ( R \geqslant 23 )\)
    The number of passengers, \(A\), checked in by Alex during a 30-minute period can be modelled by a Poisson distribution with mean 16, where \(R\) and \(A\) are independent. A randomly selected 30-minute period is chosen.
  2. Calculate the probability that exactly 42 passengers in total are checked in by Rowan and Alex. The company manager is investigating the rate at which passengers are checked in. He randomly selects 150 non-overlapping 60-minute periods and records the total number of passengers checked in by Rowan and Alex, in each of these 60-minute periods.
  3. Using a Poisson approximation, find the probability that for at least 25 of these 60-minute periods Rowan and Alex check in a total of fewer than 80 passengers. On a particular day, Alex complains to the manager that the check-in system is working slower than normal. To see if the complaint is valid the manager takes a random 90-minute period and finds that the total number of people Rowan checks in is 67
  4. Test, at the \(5 \%\) level of significance, whether or not there is evidence that the system is working slower than normal. You should state your hypotheses and conclusion clearly and show your working.
Edexcel FS1 AS Specimen Q3
  1. Two car hire companies hire cars independently of each other.
Car Hire A hires cars at a rate of 2.6 cars per hour.
Car Hire B hires cars at a rate of 1.2 cars per hour.
  1. In a 1 hour period, find the probability that each company hires exactly 2 cars.
  2. In a 1 hour period, find the probability that the total number of cars hired by the two companies is 3
  3. In a 2 hour period, find the probability that the total number of cars hired by the two companies is less than 9 On average, 1 in 250 new cars produced at a factory has a defect.
    In a random sample of 600 new cars produced at the factory,
    1. find the mean of the number of cars with a defect,
    2. find the variance of the number of cars with a defect.
    1. Use a Poisson approximation to find the probability that no more than 4 of the cars in the sample have a defect.
    2. Give a reason to support the use of a Poisson approximation. \section*{Q uestion 3 continued}