1 / 21

S2 Poisson Distribution

S2 Poisson Distribution. Think about the following random variables…. The number of dandelions in a square metre of open ground. The number of errors in a page of a typed manuscript. The number of cars passing under a bridge on a motorway in a minute (when there is no traffic

ninon
Télécharger la présentation

S2 Poisson Distribution

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. S2 Poisson Distribution

  2. Think about the following random variables… • The number of dandelions in a square metre of open • ground • The number of errors in a page of a typed manuscript • The number of cars passing under a bridge on a • motorway in a minute (when there is no traffic • interference on the motorway) • The number of telephone calls received by a company • switchboard in half an hour … what do they have in common? The behaviour of these random variables follows the POISSON DISTRIBUTION

  3. The conditions required for a Poisson distribution are: • Events occur at random • Events occur independently of each other • The average rate of occurrences remains constant • There is zero probability of simultaneous occurrences The Poisson distribution is defined as… λ is the only parameter and represents the mean number of occurrences in the time period.

  4. If X ~ Po(3), find P(X = 2)

  5. The number of cars passing a point on a road in a 5-minute Period may be modelled by a Poisson distribution with Parameter 4. Find the probability that, in a 5-minute period (a) 2 cars go past (b) fewer than 3 cars go past

  6. The number of accidents in a week on a stretch of road is known to follow a Poisson distribution with parameter 2.1. Find the probability that In a given week there is 1 accident In a two week period there are 2 accidents There is 1 accident in each of two successive weeks.

  7. The number of accidents in a week on a stretch of road is known to follow a Poisson distribution with parameter 2.1. Find the probability that In a given week there is 1 accident

  8. The number of accidents in a week on a stretch of road is known to follow a Poisson distribution with parameter 2.1. Find the probability that (b) In a two week period there are 2 accidents

  9. The number of accidents in a week on a stretch of road is known to follow a Poisson distribution with parameter 2.1. Find the probability that (c) There is 1 accident in each of two successive weeks. =

  10. The number of flaws in a metre length of dress material is known to follow a Poisson distribution with parameter 0.4. Find the probabilities that: There are no flaws in a 1-metre length There is 1 flaw in a 3-metre length There is 1 flaw in a half-metre length.

  11. USING TABLES If X ~ Po(8.5) find: (a) P(X < 7) (b) P(X ≥ 9) (c) P(X > 4) (d) P(4 < X < 9)

  12. MEAN AND VARIANCE OF THE POISSON DISTRIBUTION If then The number of calls arriving at a switchboard in a 10-minute period can be modelled by a Poisson distribution with parameter 3.5. Give the mean and variance of the number of calls which arrive in (a) 10 minutes (b) an hour (c) 5 minutes

  13. A dual carriageway has one lane blocked off due to roadworks. The number of cars passing a point in a road in a number of one-minute intervals is summarised in the table. Calculate the mean and variance of the number of cars passing in one minute intervals. Is the Poisson distribution likely to be an adequate model for the distribution of the number of cars passing in one-minute intervals?

  14. Calculate the mean and variance of the number of cars passing in one minute intervals.

  15. (b) Is the Poisson distribution likely to be an adequate model for the distribution of the number of cars passing in one-minute intervals? For a Poisson distribution to be valid, the mean and variance need to be equal or very close. In this situation they are not close and so a Poisson distribution would not be a likely model.

  16. The number of cyclists passing a village post office during the day can be modelled as a Poisson random variable. On average two cyclists pass by in an hour. What is the probability that Between 10am and 11am (i) no cyclists passes (ii) more than 3 cyclists pass Exactly one cyclist passes while the shop-keeper is on a 20-minute tea break. More than 3 cyclists pass in an hour exactly once in a six-hour period?

  17. The number of cyclists passing a village post office during the day can be modelled as a Poisson random variable. On average two cyclists pass by in an hour. What is the probability that Between 10am and 11am (i) no cyclists passes (ii) more than 3 cyclists pass

  18. The number of cyclists passing a village post office during the day can be modelled as a Poisson random variable. On average two cyclists pass by in an hour. What is the probability that Exactly one cyclist passes while the shop-keeper is on a 20-minute tea break.

  19. The number of cyclists passing a village post office during the day can be modelled as a Poisson random variable. • On average two cyclists pass by in an hour. • What is the probability that • More than 3 cyclists pass in an hour exactly once in a • six-hour period?

  20. APPROXIMATING BINOMIAL WITH POISSON If X ~ B(n, p) and n is large (>50) and p is small (<0.1) Then you can approximate X using the Poisson distribution where λ = np

  21. The probability that a component coming off a production line is faulty is 0.01. If a sample of size 5 is taken, find the probability that one of the components is faulty. What is the probability that a batch of 250 of these components has more than 3 faulty components in it?

More Related