Preview Cambridge International AS & A Level Mathematics: Probability & Statistics 2 & 3

Page 45

Cambridge International AS & A Level Mathematics: Probability & Statistics 2

P(19 , X ø 21) 20

24 20 ! e –24 2421 + 21 ! = 0.134

=

e

–24

Normal approximation

Comments

19.5 − 24   21.5 − 24 P(19.5 ø Y ø 21.5) = P  øZø  24 24  = Φ( − 0.510) − Φ( −0.919)

19 is not included but 21 is included, so the range of values is 19.5 to 21.5.

= (1 – 0.6950) – (1 – 0.8209) = 0.126

E

Poisson

From these calculations we can see that the probabilities using the normal distribution as an approximation to the Poisson distribution give the same set of values, correct to 2 decimal places, as the calculations using the Poisson probability formula.

PL

WORKED EXAMPLE 2.6

Over the years, a biologist notes that a species of turtle lays on average 60 eggs in each nest. The number of eggs laid in each nest follows a Poisson distribution, and is independent of the number of eggs laid in other nests. Calculate the probability that in a randomly chosen nest there are: a exactly 50 eggs

b over 74 eggs

Answer Let X be the random variable ‘number of eggs in a nest’. Then X ~ Po(60) ≈ N(60, 60). 42

SA M

49.5 − 60   50.5 − 60 a P( X = 50) ≈ P  øZø  60 6 0  = Φ( − 1.226) − Φ( −1.356)

c 40 eggs or less.

Always state the distribution you are using and any approximating distribution.

You could just use Poisson here; the question is included to highlight the process for a single value.

= (1 – 0.8899) – (1 – 0.9125) = 0.0226

74.5 − 60   b P( X . 74) = 1 – P( X , 75) ≈ 1 – P  Z ø  60  = 1 − Φ(1.872) = 1 – 0.9693 = 0.0307

You could have written 1 – P( X ø 74). 74.5 is the value you need to work with from writing either , 75 or ø 74 .

40.5 − 60   c P( X ø 40) ≈ P  Z ø  60  = Φ( −2.517) = 1 – 0.9941 = 0.0059

EXERCISE 2D

1 X ~ Po(42). Use the normal approximation to find: a P( X , 50)

b P( X ø 40)

c P( X = 45)

2 X ~ Po(50). Use the normal approximation to find: a P(52 , X , 56)

b P(50 ø X ø 52)

Original material © Cambridge University Press 2017


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